Mengjie Zhang
Orcid: 0000-0003-4463-9538Affiliations:
- Victoria University of Wellington, New Zealand
According to our database1,
Mengjie Zhang
authored at least 935 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on id.loc.gov
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on dl.acm.org
On csauthors.net:
Bibliography
2024
GPU-Based Genetic Programming for Faster Feature Extraction in Binary Image Classification.
IEEE Trans. Evol. Comput., December, 2024
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression.
IEEE Trans. Evol. Comput., December, 2024
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles.
IEEE Trans. Evol. Comput., December, 2024
Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection.
IEEE Trans. Evol. Comput., December, 2024
IEEE Trans. Evol. Comput., December, 2024
Multitask Linear Genetic Programming With Shared Individuals and Its Application to Dynamic Job Shop Scheduling.
IEEE Trans. Evol. Comput., December, 2024
IEEE Trans. Neural Networks Learn. Syst., October, 2024
A Bi-Search Evolutionary Algorithm for High-Dimensional Bi-Objective Feature Selection.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024
IEEE Trans. Evol. Comput., October, 2024
Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression.
IEEE Trans. Evol. Comput., October, 2024
Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy.
IEEE Trans. Evol. Comput., October, 2024
Genetic Programming With Lexicase Selection for Large-Scale Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., October, 2024
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., October, 2024
A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification.
IEEE Trans. Evol. Comput., October, 2024
A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification.
IEEE Trans. Artif. Intell., September, 2024
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization.
Memetic Comput., September, 2024
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification.
IEEE Trans. Evol. Comput., August, 2024
Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., August, 2024
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling.
IEEE Trans. Evol. Comput., August, 2024
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges.
IEEE Trans. Evol. Comput., August, 2024
Comput. Vis. Media, August, 2024
Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection.
IEEE Comput. Intell. Mag., August, 2024
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data.
IEEE Trans. Cybern., July, 2024
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024
IEEE Trans. Evol. Comput., June, 2024
IEEE Trans. Evol. Comput., June, 2024
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification.
IEEE Trans. Evol. Comput., June, 2024
A geometric semantic macro-crossover operator for evolutionary feature construction in regression.
Genet. Program. Evolvable Mach., June, 2024
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling.
Genet. Program. Evolvable Mach., June, 2024
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison.
IEEE Comput. Intell. Mag., May, 2024
IEEE Trans. Evol. Comput., April, 2024
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification.
IEEE Trans. Evol. Comput., April, 2024
IEEE Trans. Cybern., March, 2024
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling.
IEEE Trans. Evol. Comput., February, 2024
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection.
IEEE Trans. Evol. Comput., February, 2024
Genetic Programming for Document Classification: A Transductive Transfer Learning System.
IEEE Trans. Cybern., February, 2024
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues.
ACM Comput. Surv., February, 2024
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection.
IEEE Comput. Intell. Mag., February, 2024
A genetic programming-based method for image classification with small training data.
Knowl. Based Syst., January, 2024
Appl. Soft Comput., January, 2024
Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds.
IEEE Trans. Serv. Comput., 2024
Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing.
IEEE Trans. Geosci. Remote. Sens., 2024
A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2024
An evolutionary neural architecture search method based on performance prediction and weight inheritance.
Inf. Sci., 2024
Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling.
Inf. Sci., 2024
ConvFishNet: An efficient backbone for fish classification from composited underwater images.
Inf. Sci., 2024
Evol. Comput., 2024
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration.
CoRR, 2024
Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis.
CoRR, 2024
Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning.
CoRR, 2024
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Integrating SGBM and Segmentation Models.
CoRR, 2024
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations.
CoRR, 2024
CoRR, 2024
Neural Network Surrogate Based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024
P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Genetic Programming Hyper-Heuristics.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press].
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression.
Proceedings of the Genetic Programming - 27th European Conference, 2024
Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
2023
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., December, 2023
A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., December, 2023
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach.
IEEE Trans. Cybern., December, 2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios.
Knowl. Based Syst., November, 2023
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained].
IEEE Comput. Intell. Mag., November, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling.
IEEE Trans. Evol. Comput., October, 2023
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification.
IEEE Trans. Evol. Comput., October, 2023
Differential Evolution With Duplication Analysis for Feature Selection in Classification.
IEEE Trans. Cybern., October, 2023
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach.
IEEE Trans. Circuits Syst. Video Technol., October, 2023
Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes.
Inf. Sci., September, 2023
Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Pattern Recognit., August, 2023
IEEE Trans. Cybern., May, 2023
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification.
IEEE Trans. Cybern., May, 2023
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming.
IEEE Trans. Cybern., May, 2023
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution.
Inf. Sci., May, 2023
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach.
IEEE Trans. Evol. Comput., April, 2023
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., April, 2023
A Two-Stage Swarm Optimizer With Local Search for Water Distribution Network Optimization.
IEEE Trans. Cybern., March, 2023
IEEE Trans. Neural Networks Learn. Syst., February, 2023
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends.
IEEE Trans. Evol. Comput., February, 2023
IEEE Trans. Serv. Comput., 2023
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming.
IEEE Trans. Evol. Comput., 2023
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems.
IEEE Trans. Evol. Comput., 2023
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse.
IEEE Trans. Evol. Comput., 2023
IEEE Trans. Evol. Comput., 2023
IEEE Trans. Cybern., 2023
IEEE Trans. Cybern., 2023
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification.
IEEE Trans. Cybern., 2023
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Cybern., 2023
CoRR, 2023
Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press].
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Proceedings of the Genetic Programming - 26th European Conference, 2023
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression.
Proceedings of the Data Science and Machine Learning, 2023
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming.
Proceedings of the Data Science and Machine Learning, 2023
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2023
2022
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization.
IEEE Trans. Evol. Comput., 2022
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2022
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning.
IEEE Trans. Evol. Comput., 2022
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., 2022
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Cybern., 2022
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling.
IEEE Trans. Cybern., 2022
Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming.
IEEE Trans. Cybern., 2022
A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem.
IEEE Trans. Cybern., 2022
Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents.
IEEE Trans. Cybern., 2022
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification.
IEEE Trans. Cybern., 2022
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification.
IEEE Trans. Cybern., 2022
A Cooperative Coevolution Genetic Programming Hyper-Heuristics Approach for On-Line Resource Allocation in Container-Based Clouds.
IEEE Trans. Cloud Comput., 2022
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures.
IEEE Trans. Artif. Intell., 2022
Remote. Sens., 2022
Remote. Sens., 2022
Knowl. Based Syst., 2022
Using a small number of training instances in genetic programming for face image classification.
Inf. Sci., 2022
Expert Syst. Appl., 2022
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection.
Evol. Comput., 2022
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks.
CoRR, 2022
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations.
CoRR, 2022
CoRR, 2022
CoRR, 2022
<i>In vivo</i> computation with sensor fusion and search acceleration for smart tumor homing.
Comput. Biol. Medicine, 2022
Appl. Soft Comput., 2022
Appl. Soft Comput., 2022
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Image and Vision Computing - 37th International Conference, 2022
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Genetic programming with diverse partner selection for dynamic flexible job shop scheduling.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Particle swarm optimisation for sparsity-based feature selection in multi-label classification.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022
Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression.
Proceedings of the Genetic Programming - 25th European Conference, 2022
An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling.
Proceedings of the Genetic Programming - 25th European Conference, 2022
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
Proceedings of the Automated Design of Machine Learning and Search Algorithms, 2021
Evolutionary Multi-Objective Optimization for Web Service Location Allocation Problem.
IEEE Trans. Serv. Comput., 2021
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., 2021
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., 2021
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection.
IEEE Trans. Evol. Comput., 2021
Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks.
IEEE Trans. Evol. Comput., 2021
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming.
IEEE Trans. Evol. Comput., 2021
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression.
IEEE Trans. Evol. Comput., 2021
IEEE Trans. Evol. Comput., 2021
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification.
IEEE Trans. Evol. Comput., 2021
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification.
IEEE Trans. Evol. Comput., 2021
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data.
IEEE Trans. Evol. Comput., 2021
Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Cybern., 2021
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis.
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation.
IEEE Trans. Cybern., 2021
A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation.
IEEE Trans. Cybern., 2021
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization.
IEEE Trans. Cybern., 2021
Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification.
IEEE Trans. Cybern., 2021
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data.
Soft Comput., 2021
Knowl. Based Syst., 2021
An automatic feature construction method for salient object detection: A genetic programming approach.
Expert Syst. Appl., 2021
Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling.
Evol. Comput., 2021
Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances.
Evol. Comput., 2021
IEEE Comput. Intell. Mag., 2021
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes].
IEEE Comput. Intell. Mag., 2021
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2021
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Appl. Soft Comput., 2021
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies.
Appl. Soft Comput., 2021
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021
Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021
Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector.
Proceedings of the 2021 International Conference on Data Mining, 2021
Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification.
Proceedings of the 2021 International Conference on Data Mining, 2021
A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Genetic programming for borderline instance detection in high-dimensional unbalanced classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Genetic programming with a new representation and a new mutation operator for image classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Sparsity-based evolutionary multi-objective feature selection for multi-label classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation, 2021
Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Springer, ISBN: 978-981-16-4858-8, 2021
2020
Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective.
IEEE Trans. Emerg. Top. Comput. Intell., 2020
IEEE Trans. Evol. Comput., 2020
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor.
IEEE Trans. Evol. Comput., 2020
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms.
IEEE Trans. Evol. Comput., 2020
IEEE Trans. Evol. Comput., 2020
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.
IEEE Trans. Cybern., 2020
Swarm Evol. Comput., 2020
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Comput., 2020
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks.
Knowl. Based Syst., 2020
Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection.
Inf. Sci., 2020
Neurocomputing, 2020
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality.
Genet. Program. Evolvable Mach., 2020
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems.
Evol. Comput., 2020
A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem.
Evol. Comput., 2020
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis.
Evol. Comput., 2020
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification.
CoRR, 2020
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems.
CoRR, 2020
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation.
CoRR, 2020
Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports].
IEEE Comput. Intell. Mag., 2020
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2020
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition.
Appl. Soft Comput., 2020
Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Adaptive weighted splines: a new representation to genetic programming for symbolic regression.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
A memetic level-based learning swarm optimizer for large-scale water distribution network optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Automatically extracting features for face classification using multi-objective genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
A genetic programming approach to feature construction for ensemble learning in skin cancer detection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020
Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic Programming - 23rd European Conference, 2020
Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the Genetic Programming - 23rd European Conference, 2020
Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
2019
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019
Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification.
ACM Trans. Knowl. Discov. Data, 2019
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification.
IEEE Trans. Evol. Comput., 2019
IEEE Trans. Evol. Comput., 2019
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression.
IEEE Trans. Evol. Comput., 2019
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators.
IEEE Trans. Evol. Comput., 2019
Soft Comput., 2019
Genetic programming for multiple-feature construction on high-dimensional classification.
Pattern Recognit., 2019
Figure-ground image segmentation using feature-based multi-objective genetic programming techniques.
Neural Comput. Appl., 2019
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case.
Genet. Program. Evolvable Mach., 2019
Domain-independent severely noisy image segmentation via adaptive wavelet shrinkage using particle swarm optimization and fuzzy C-means.
Expert Syst. Appl., 2019
Evol. Comput., 2019
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification.
CoRR, 2019
Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019
Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019
A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Evolving deep neural networks by multi-objective particle swarm optimization for image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Transfer learning: a building block selection mechanism in genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
What's inside the black-box?: a genetic programming method for interpreting complex machine learning models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
An automated ensemble learning framework using genetic programming for image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Differential evolution for instance based transfer learning in genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation, 2019
Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection.
Proceedings of the Applications of Evolutionary Computation, 2019
Proceedings of the Genetic Programming - 22nd European Conference, 2019
Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
2018
IEEE Trans. Image Process., 2018
IEEE Trans. Emerg. Top. Comput. Intell., 2018
A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018
IEEE Trans. Cybern., 2018
Knowl. Based Syst., 2018
Differential evolution for filter feature selection based on information theory and feature ranking.
Knowl. Based Syst., 2018
Inf. Sci., 2018
Evolutionary computation for automatic Web service composition: an indirect representation approach.
J. Heuristics, 2018
Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation.
Genet. Program. Evolvable Mach., 2018
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization.
CoRR, 2018
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification.
CoRR, 2018
Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier].
IEEE Comput. Intell. Mag., 2018
IEEE Comput. Intell. Mag., 2018
Improving performance of classification on incomplete data using feature selection and clustering.
Appl. Soft Comput., 2018
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput., 2018
Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018
The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018
Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Automatically evolving difficult benchmark feature selection datasets with genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018
An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation, 2018
Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018
Proceedings of the Genetic Programming - 21st European Conference, 2018
Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming.
IEEE Trans. Emerg. Top. Comput. Intell., 2017
IEEE Trans. Emerg. Top. Comput. Intell., 2017
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification.
IEEE Trans. Evol. Comput., 2017
Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression.
IEEE Trans. Evol. Comput., 2017
Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors.
IEEE Trans. Evol. Comput., 2017
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming.
IEEE Trans. Evol. Comput., 2017
Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules.
IEEE Trans. Cybern., 2017
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Evol. Comput., 2017
Eng. Appl. Artif. Intell., 2017
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification.
CoRR, 2017
Appl. Soft Comput., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A differential evolution based feature selection approach using an improved filter criterion.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A supervised feature weighting method for salient object detection using particle swarm optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
New Representations in Genetic Programming for Feature Construction in k-Means Clustering.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
An automatic region detection and processing approach in genetic programming for binary image classification.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Genetic programming based feature construction for classification with incomplete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Fragment-based genetic programming for fully automated multi-objective web service composition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Automated state feature learning for actor-critic reinforcement learning through NEAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Improving <i>k</i>-means clustering with genetic programming for feature construction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Evolving texture image descriptors using a multitree genetic programming representation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Proceedings of the Genetic Programming - 20th European Conference, 2017
Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 20th European Conference, 2017
Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression.
Proceedings of the Genetic Programming - 20th European Conference, 2017
Genetic programming for solving common and domain-independent generic recursive problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Common subtrees in related problems: A novel transfer learning approach for genetic programming.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
Proceedings of the Artificial Life and Computational Intelligence, 2017
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown.
Proceedings of the Artificial Life and Computational Intelligence, 2017
A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Artificial Life and Computational Intelligence, 2017
Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming.
Proceedings of the Artificial Life and Computational Intelligence, 2017
2016
IEEE Trans. Evol. Comput., 2016
Accuracy-Based Learning Classifier Systems for Multistep Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions.
IEEE Trans. Evol. Comput., 2016
IEEE Trans. Evol. Comput., 2016
Soft Comput., 2016
New mechanism for archive maintenance in PSO-based multi-objective feature selection.
Soft Comput., 2016
Soft Comput., 2016
Learning feature fusion strategies for various image types to detect salient objects.
Pattern Recognit., 2016
Mach. Vis. Appl., 2016
Genetic programming for feature construction and selection in classification on high-dimensional data.
Memetic Comput., 2016
Improving performance for classification with incomplete data using wrapper-based feature selection.
Evol. Intell., 2016
Evol. Intell., 2016
Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances.
Evol. Comput., 2016
Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias.
Connect. Sci., 2016
Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Particle swarm optimisation representations for simultaneous clustering and feature selection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016
Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016
Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016
A Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Proceedings of the Genetic Programming - 19th European Conference, 2016
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.
Proceedings of the Genetic Programming - 19th European Conference, 2016
Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data.
Proceedings of the Genetic Programming - 19th European Conference, 2016
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Evolutionary computation for feature manipulation: Key challenges and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Further investigation on genetic programming with transfer learning for symbolic regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Evolutionary computer vision and image processing: Some FAQs, current challenges and future perspectives.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Improving classification on images by extracting and transferring knowledge in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A genetic programming approach to distributed execution of data-intensive web service compositions.
Proceedings of the Australasian Computer Science Week Multiconference, 2016
Optimization of Location Allocation of Web Services Using a Modified Non-dominated Sorting Genetic Algorithm.
Proceedings of the Artificial Life and Computational Intelligence, 2016
Proceedings of the Artificial Life and Computational Intelligence, 2016
A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation.
Proceedings of the Artificial Life and Computational Intelligence, 2016
Proceedings of the Artificial Life and Computational Intelligence, 2016
Proceedings of the Artificial Life and Computational Intelligence, 2016
Proceedings of the Artificial Life and Computational Intelligence, 2016
2015
A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition.
Trans. Large Scale Data Knowl. Centered Syst., 2015
IEEE Trans. Evol. Comput., 2015
IEEE Trans. Cybern., 2015
Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems.
Swarm Evol. Comput., 2015
Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems.
Soft Comput., 2015
Distribution-based invariant feature construction using genetic programming for edge detection.
Soft Comput., 2015
Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules.
Soft Comput., 2015
J. Appl. Math., 2015
A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification.
Int. J. Comput. Intell. Appl., 2015
Evol. Intell., 2015
Appl. Soft Comput., 2015
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015
Pixel characteristics based feature extraction approach for roadside object detection.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
A Heuristic Solution for Noisy Image Segmentation using Particle Swarm Optimization and Fuzzy Clustering.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015
Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015
Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling.
Proceedings of the Genetic Programming - 18th European Conference, 2015
Proceedings of the Database and Expert Systems Applications, 2015
F-MOGP: A novel many-objective evolutionary approach to QoS-aware data intensive web service composition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Impact of imputation of missing values on Genetic programming based multiple feature construction for classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
A GP approach to QoS-aware Web service composition including conditional constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Generalisation and domain adaptation in GP with gradient descent for symbolic regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Image descriptor: A genetic programming approach to multiclass texture classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
2014
Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming.
IEEE Trans. Evol. Comput., 2014
Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data.
IEEE Trans. Evol. Comput., 2014
Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems.
IEEE Trans. Evol. Comput., 2014
IEEE Trans. Cybern., 2014
Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems.
Swarm Evol. Comput., 2014
Deception, blindness and disorientation in particle swarm optimization applied to noisy problems.
Swarm Intell., 2014
Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.
Int. J. Comput. Intell. Appl., 2014
Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments.
Evol. Comput., 2014
Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems.
Evol. Comput., 2014
Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programming.
Connect. Sci., 2014
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms.
Appl. Soft Comput., 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Multi-objective Feature Selection in Classification: A Differential Evolution Approach.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014
Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification.
Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Information Divergence Based Saliency Detection with a Global Center-Surround Mechanism.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Multiple feature construction for effective biomarker identification and classification using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Salient object detection using learning classifiersystems that compute action mappings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014
Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 17th European Conference, 2014
Proceedings of the Database and Expert Systems Applications, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
An archive based particle swarm optimisation for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A graph-based Particle Swarm Optimisation approach to QoS-aware web service composition and selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Filter based backward elimination in wrapper based PSO for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A hybrid discrete particle swarm optimisation method for grid computation scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A new GP-based wrapper feature construction approach to classification and biomarker identification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013
Parent Selection Pressure Auto-Tuning for Tournament Selection in Genetic Programming.
IEEE Trans. Evol. Comput., 2013
A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem.
IEEE Trans. Evol. Comput., 2013
Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Evol. Comput., 2013
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach.
IEEE Trans. Cybern., 2013
A performance study on synchronicity and neighborhood size in particle swarm optimization.
Soft Comput., 2013
Evolving optimum populations with XCS classifier systems - XCS with code fragmented action.
Soft Comput., 2013
A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images.
Inf. Sci., 2013
Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification.
Int. J. Artif. Intell. Tools, 2013
Adaptive artificial datasets through learning classifier systems for classification tasks.
Evol. Intell., 2013
Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems.
Evol. Intell., 2013
Comput. Oper. Res., 2013
Special Issue on Computational Intelligence in Computer Vision and Image Processing [Guest Editorial].
IEEE Comput. Intell. Mag., 2013
A new image segmentation algorithm based on modified seeded region growing and particle swarm optimization.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013
Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013
Binary image classification using genetic programming based on local binary patterns.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Adaptive artificial datasets to discover the effects of domain features for classification tasks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Comparison of two methods for computing action values in XCS with code-fragment actions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Comparing ensemble learning approaches in genetic programming for classification with unbalanced data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
Genetic Programming for Automatic Construction of Variant Features in Edge Detection.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013
Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013
Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.
Proceedings of the Genetic Programming - 16th European Conference, 2013
Proceedings of the Database and Expert Systems Applications, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Triangular-distribution-based feature construction using Genetic Programming for edge detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Binary particle swarm optimisation and rough set theory for dimension reduction in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Syst. Man Cybern. Part B, 2012
A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming.
IEEE Trans. Evol. Comput., 2012
Soft Comput., 2012
Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks.
Soft Comput., 2012
Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction.
Neurocomputing, 2012
On the issue of separability for problem decomposition in cooperative neuro-evolution.
Neurocomputing, 2012
Genet. Program. Evolvable Mach., 2012
Expert Syst. Appl., 2012
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems.
Connect. Sci., 2012
Crossover-based local search in cooperative co-evolutionary feedforward neural networks.
Appl. Soft Comput., 2012
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012
Genetic programming for improving image descriptors generated using the scale-invariant feature transform.
Proceedings of the Image and Vision Computing New Zealand, 2012
Proceedings of the Image and Vision Computing New Zealand, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 15th European Conference, 2012
Proceedings of the Genetic Programming - 15th European Conference, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
A performance study on the effects of noise and evaporation in Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection.
Proceedings of the Thirty-Fifth Australasian Computer Science Conference, 2012
2011
Soft Comput., 2011
Soft Comput., 2011
Neurocomputing, 2011
Using genetic programming for context-sensitive feature scoring in classification problems.
Connect. Sci., 2011
Experience of Teaching Computational Intelligence in an Undergraduate Level Course [Educational Forum].
IEEE Comput. Intell. Mag., 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011
Genetic programming for evolving programs with loop structures for classification tasks.
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011
Attraction based PSO with sphere search for dynamic constrained multi-objective optimization problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
A performance study on synchronous and asynchronous updates in particle swarm optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Evolving ensembles in multi-objective genetic programming for classification with unbalanced data.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Applications of Evolutionary Computation, 2011
A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation.
Proceedings of the Applications of Evolutionary Computation, 2011
Proceedings of the Genetic Programming - 14th European Conference, 2011
A memetic particle swarm optimization for constrained multi-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Edge detection using constrained discrete particle swarm optimisation in noisy images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
A domain independent Genetic Programming approach to automatic feature extraction for image classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
New crossover operators in linear genetic programming for multiclass object classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks.
Proceedings of the Applications of Evolutionary Computation, 2010
Proceedings of the Genetic Programming, 13th European Conference, 2010
Proceedings of the Genetic Programming, 13th European Conference, 2010
Proceedings of the Genetic Programming, 13th European Conference, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
2009
Genetic Programming for Object Detection: a Two-phase Approach with an Improved Fitness Function.
Proceedings of the Progress in Computer Vision and Image Analysis, 2009
Int. J. Softw. Eng. Knowl. Eng., 2009
Numerical simplification for bloat control and analysis of building blocks in genetic programming.
Evol. Intell., 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic Programming, 12th European Conference, 2009
Solving the forward kinematics of the 3RPR planar parallel manipulator using a hybrid meta-heuristic paradigm.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009
2008
Int. J. Knowl. Based Intell. Eng. Syst., 2008
Int. J. Comput. Intell. Appl., 2008
Integr. Comput. Aided Eng., 2008
Genet. Program. Evolvable Mach., 2008
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2008
Proceedings of the Applications of Evolutionary Computing, 2008
Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems.
Proceedings of the Genetic Programming, 11th European Conference, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
An analysis of the distribution of swapped subtree sizes in tree-based genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Genetic programming for performance improvement and dimensionality reduction of classification problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Evaluation of particle swarm optimization based centroid classifier with different distance metrics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
Int. J. Artif. Intell. Tools, 2007
A linear structured approach and a refined fitness function in genetic programming for multi-class object classification.
Connect. Sci., 2007
Proceedings of the Knowledge Science, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007
Proceedings of the Applications of Evolutinary Computing, 2007
Proceedings of the Genetic Programming, 10th European Conference, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
2006
Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification.
Pattern Recognit. Lett., 2006
Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data.
IEEE Intell. Informatics Bull., 2006
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006
Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
Modelling Citation Networks for Improving Scientific Paper Classification Performance.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Applications of Evolutionary Computing, 2006
Proceedings of the Applications of Evolutionary Computing, 2006
Proceedings of the Genetic Programming, 9th European Conference, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
Proceedings of the Advances in Intelligent IT, 2006
2005
Proceedings of the Foundations of Data Mining and knowledge Discovery, 2005
Adv. Decis. Sci., 2005
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
Proceedings of the Applications of Evolutionary Computing, 2005
Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems.
Proceedings of the Genetic Programming, 8th European Conference, 2005
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
2004
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004
Neural Networks And Genetic Algorithms For Domain Independent Multiclass Object Detection.
Int. J. Comput. Intell. Appl., 2004
A Knowledge Learning Approach to Information Extraction from Multiple Text Based Web Sites.
Int. J. Artif. Intell. Tools, 2004
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
Proceedings of the Applications of Evolutionary Computing, 2004
Proceedings of the Applications of Evolutionary Computing, 2004
Genetic Programming with Gradient Descent Search for Multiclass Object Classification.
Proceedings of the Genetic Programming, 7th European Conference, 2004
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004
Proceedings of the Computer Science 2004, 2004
2003
A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming.
EURASIP J. Adv. Signal Process., 2003
Learning Information Extraction Patterns from Tabular Web Pages without Manual Labelling.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003
Learning Knowledge Bases for Information Extraction from Multiple Text Based Web Sites.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003
Proceedings of the Applications of Evolutionary Computing, 2003
1999
Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection.
Proceedings of the Database and Expert Systems Applications, 10th International Conference, 1999
Proceedings of the Advanced Topics in Artificial Intelligence, 1999