Xin Yao

Orcid: 0000-0001-8837-4442

Affiliations:
  • Southern University of Science and Technology, Shenzhen Key Lab of Computational Intelligence, China
  • University of Birmingham, UK
  • University of Science and Technology of China, Hefei, China (PhD 1990)


According to our database1, Xin Yao authored at least 826 papers between 1991 and 2024.

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Bibliography

2024
Online cross-project approach with project-level similarity for just-in-time software defect prediction.
Empir. Softw. Eng., November, 2024

Evolving Memristive Reservoir.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights.
IEEE Trans. Knowl. Data Eng., October, 2024

Robust Optimization Over Time: A Critical Review.
IEEE Trans. Evol. Comput., October, 2024

A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments.
IEEE Trans. Evol. Comput., October, 2024

Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly Supervised Anomaly Detection.
IEEE Trans. Fuzzy Syst., September, 2024

PROUD: PaRetO-gUided diffusion model for multi-objective generation.
Mach. Learn., September, 2024

On Estimating the Feasible Solution Space of Multi-objective Testing Resource Allocation.
ACM Trans. Softw. Eng. Methodol., July, 2024

Multi-Objective Archiving.
IEEE Trans. Evol. Comput., June, 2024

Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm.
IEEE Trans. Cybern., June, 2024

Sanitized clustering against confounding bias.
Mach. Learn., June, 2024

FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes].
IEEE Comput. Intell. Mag., May, 2024

A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?
IEEE Trans. Evol. Comput., April, 2024

Differential-Critic GAN: Generating What You Want by a Cue of Preferences.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Multi-objective Feature Attribution Explanation For Explainable Machine Learning.
ACM Trans. Evol. Learn. Optim., March, 2024

Gridless Evolutionary Approach for Line Spectral Estimation With Unknown Model Order.
IEEE Trans. Cybern., February, 2024

A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem.
Swarm Evol. Comput., February, 2024

Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning.
Swarm Evol. Comput., 2024

Generative Adversarial Ranking Nets.
J. Mach. Learn. Res., 2024

PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning.
CoRR, 2024

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects.
CoRR, 2024

Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization.
CoRR, 2024

Procedural Fairness in Machine Learning.
CoRR, 2024

Knowledge-Guided Optimization for Complex Vehicle Routing with 3D Loading Constraints.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

When Does the Time-Linkage Property Help Optimization by Evolutionary Algorithms?
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Concept-Based Local Interpretable Model-Agnostic Explanation Approach for Deep Neural Networks in Image Classification.
Proceedings of the Intelligent Information Processing XII, 2024

Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PEACH: A Multi-Objective Evolutionary Algorithm for Complex Vehicle Routing with Three-Dimensional Loading Constraints.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

An Adaptive Interactive Routing-Packing Strategy for Split Delivery Vehicle Routing Problem with 3D Loading Constraints.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

A Deep Dive into Robust Optimization Over Time: Problems, Algorithms, and Beyond.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Feature Attribution Explanation Based on Multi-Objective Evolutionary Learning.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolutionary Reinforcement Learning via Cooperative Coevolution.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Learning-Based Problem Reduction for Large-Scale Uncapacitated Facility Location Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
A Species-based Particle Swarm Optimization with Adaptive Population Size and Deactivation of Species for Dynamic Optimization Problems.
ACM Trans. Evol. Learn. Optim., December, 2023

An efficient many objective optimization algorithm with few parameters.
Swarm Evol. Comput., December, 2023

Guest Editorial: Special Issue on Stream Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems.
IEEE Trans. Evol. Comput., October, 2023

On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction.
Empir. Softw. Eng., October, 2023

A Brain-Inspired Hardware Architecture for Evolutionary Algorithms Based on Memristive Arrays.
ACM Trans. Design Autom. Electr. Syst., September, 2023

Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier].
IEEE Comput. Intell. Mag., August, 2023

How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem.
IEEE Comput. Intell. Mag., August, 2023

HumLa-fse2023.
Dataset, August, 2023

Reinforcement Learning With Dual-Observation for General Video Game Playing.
IEEE Trans. Games, June, 2023

New Reliability-Driven Bounds for Architecture-Based Multi-Objective Testing Resource Allocation.
IEEE Trans. Software Eng., April, 2023

Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., April, 2023

Hierarchical Reduced-Space Drift Detection Framework for Multivariate Supervised Data Streams.
IEEE Trans. Knowl. Data Eng., March, 2023

Recidivism early warning model based on rough sets and the improved K-prototype clustering algorithm and a back propagation neural network.
J. Ambient Intell. Humaniz. Comput., February, 2023

Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning.
IEEE Trans. Evol. Comput., 2023

Robust Optimization Over Time by Estimating Robustness of Promising Regions.
IEEE Trans. Evol. Comput., 2023

Interactive Evolutionary Multiobjective Optimization via Learning to Rank.
IEEE Trans. Evol. Comput., 2023

Robust Audio Copy-Move Forgery Detection Using Constant Q Spectral Sketches and GA-SVM.
IEEE Trans. Dependable Secur. Comput., 2023

An Overview of Artificial Intelligence Ethics.
IEEE Trans. Artif. Intell., 2023

Evolutionary Dynamic Multi-objective Optimisation: A Survey.
ACM Comput. Surv., 2023

Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels.
CoRR, 2023

EFFL: Egalitarian Fairness in Federated Learning for Mitigating Matthew Effect.
CoRR, 2023

Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments.
CoRR, 2023

Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives.
CoRR, 2023

Theoretical Analyses of Evolutionary Algorithms on Time-Linkage OneMax with General Weights.
CoRR, 2023

Experience-Based Evolutionary Algorithms for Expensive Optimization.
CoRR, 2023

Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Robust Deep Learning Models against Semantic-Preserving Adversarial Attack.
Proceedings of the International Joint Conference on Neural Networks, 2023

Feature Attribution Explanation to Detect Harmful Dataset Shift.
Proceedings of the International Joint Conference on Neural Networks, 2023

Constrained Reinforcement Learning for Dynamic Material Handling.
Proceedings of the International Joint Conference on Neural Networks, 2023

Evolving Constrained Reinforcement Learning Policy.
Proceedings of the International Joint Conference on Neural Networks, 2023

An Explainable Feature Selection Approach for Fair Machine Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Explaining Memristive Reservoir Computing Through Evolving Feature Attribution.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Local Optima Correlation Assisted Adaptive Operator Selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance.
IEEE Trans. Software Eng., 2022

Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., 2022

A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2022

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part II.
IEEE Trans. Evol. Comput., 2022

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part I.
IEEE Trans. Evol. Comput., 2022

Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search.
IEEE Trans. Evol. Comput., 2022

Posterior Decision Making Based on Decomposition-Driven Knee Point Identification.
IEEE Trans. Evol. Comput., 2022

Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems.
IEEE Trans. Evol. Comput., 2022

Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite.
IEEE Trans. Cybern., 2022

Tension-Relaxation In Vivo Computing Principle for Tumor Sensitization and Targeting.
IEEE Trans. Cybern., 2022

In Vivo Computing Strategies for Tumor Sensitization and Targeting.
IEEE Trans. Cybern., 2022

NGA-Inspired Nanorobots-Assisted Detection of Multifocal Cancer.
IEEE Trans. Cybern., 2022

Generative Adversarial Construction of Parallel Portfolios.
IEEE Trans. Cybern., 2022

Adaptive Memory-Enhanced Time Delay Reservoir and its Memristive Implementation.
IEEE Trans. Computers, 2022

Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation.
Memetic Comput., 2022

The vision of self-evolving computing systems.
J. Integr. Des. Process. Sci., 2022

Finding top-K solutions for the decision-maker in multiobjective optimization.
Inf. Sci., 2022

A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit.
Genet. Program. Evolvable Mach., 2022

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning.
CoRR, 2022

How Good Is Neural Combinatorial Optimization?
CoRR, 2022

Universal Learned Image Compression With Low Computational Cost.
CoRR, 2022

Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank.
CoRR, 2022

An Efficient Multi-Indicator and Many-Objective Optimization Algorithm based on Two-Archive.
CoRR, 2022

Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network.
CoRR, 2022

Fitness landscape analysis and niching genetic approach for hybrid beamforming in RIS-aided communications.
Appl. Soft Comput., 2022

Online algorithm configuration for differential evolution algorithm.
Appl. Intell., 2022

Indicator-Aware Talking Face Generation Based on Evolutionary Multi-objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

A Scalable Mixed Reality Platform for Remote Collaborative LEGO Design.
Proceedings of the IEEE INFOCOM 2022, 2022

A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency.
Proceedings of the International Joint Conference on Neural Networks, 2022

Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer.
Proceedings of the International Joint Conference on Neural Networks, 2022

Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

AdderIC: Towards Low Computation Cost Image Compression.
Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Robust Uncertainty Estimation in the Presence of Noisy Labels.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Evolutionary continuous dynamic optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Evolving parsimonious circuits through shapley value-based genetic programming.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Reproducibility and baseline reporting for dynamic multi-objective benchmark problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Placement of Digital Microfluidic Biochips via a New Evolutionary Algorithm.
ACM Trans. Design Autom. Electr. Syst., 2021

Discriminative Learning in the Model Space for Symbolic Sequence Classification.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Efficient User Involvement in Semiautomatic Ontology Matching.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Symbolic Sequence Classification in the Fractal Space.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping.
ACM Trans. Embed. Comput. Syst., 2021

Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property.
IEEE Trans. Evol. Comput., 2021

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B.
IEEE Trans. Evol. Comput., 2021

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A.
IEEE Trans. Evol. Comput., 2021

An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems.
IEEE Trans. Evol. Comput., 2021

Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution.
IEEE Trans. Evol. Comput., 2021

Enhanced Constraint Handling for Reliability-Constrained Multiobjective Testing Resource Allocation.
IEEE Trans. Evol. Comput., 2021

Exponential evolution mechanism for in vivo computation.
Swarm Evol. Comput., 2021

Memetic search for vehicle routing with simultaneous pickup-delivery and time windows.
Swarm Evol. Comput., 2021

Preface.
Nat. Comput., 2021

Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study.
Inf. Sci., 2021

Multi-objective software performance optimisation at the architecture level using randomised search rules.
Inf. Softw. Technol., 2021

Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression.
Neurocomputing, 2021

Adaptive Initialization Method for K-Means Algorithm.
Frontiers Artif. Intell., 2021

Parallel exploration via negatively correlated search.
Frontiers Comput. Sci., 2021

TRIP: Refining Image-to-Image Translation via Rival Preferences.
CoRR, 2021

Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm.
CoRR, 2021

Lifelong Computing.
CoRR, 2021

Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark.
CoRR, 2021

Generalized Moving Peaks Benchmark.
CoRR, 2021

Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics.
CoRR, 2021

Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2021

A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems.
CoRR, 2021

Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article].
IEEE Comput. Intell. Mag., 2021

Conference Report on 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) [Conference Reports].
IEEE Comput. Intell. Mag., 2021

Multiobjective bilevel evolutionary approach for off-grid direction-of-arrival estimation.
Appl. Soft Comput., 2021

Analysis of Noisy Evolutionary Optimization When Sampling Fails.
Algorithmica, 2021

Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Exploiting Generative Models for Performance Predictions of 3D Car Designs.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Trust and Trustworthiness: What They Are and How to Achieve Them.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Interpreting Node Embedding with Text-labeled Graphs.
Proceedings of the International Joint Conference on Neural Networks, 2021

Neural Architecture Search Based on Evolutionary Algorithms with Fitness Approximation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2021

Fairer Machine Learning Through Multi-objective Evolutionary Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Feature Creation Towards the Detection of Non-control-Flow Hijacking Attacks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

A hybrid local search framework for the dynamic capacitated arc routing problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

When non-elitism meets time-linkage problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021).
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Adaptive Differential Evolution based on Exploration and Exploitation Control.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.
Dataset, May, 2020

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization.
Dataset, February, 2020

A Task-Oriented Heuristic for Repairing Infeasible Solutions to Overlapping Coalition Structure Generation.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Many-Objective Test Suite Generation for Software Product Lines.
ACM Trans. Softw. Eng. Methodol., 2020

Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data.
IEEE Trans. Knowl. Data Eng., 2020

Toward Efficient Design Space Exploration for Fault-Tolerant Multiprocessor Systems.
IEEE Trans. Evol. Comput., 2020

Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach.
IEEE Trans. Evol. Comput., 2020

Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points.
IEEE Trans. Evol. Comput., 2020

A Survey of Automatic Parameter Tuning Methods for Metaheuristics.
IEEE Trans. Evol. Comput., 2020

Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers.
IEEE Trans. Evol. Comput., 2020

Finding the Largest Successful Coalition under the Strict Goal Preferences of Agents.
ACM Trans. Auton. Adapt. Syst., 2020

Multi-objective redundancy hardening with optimal task mapping for independent tasks on multi-cores.
Soft Comput., 2020

Self-Awareness for Autonomous Systems.
Proc. IEEE, 2020

Synergizing Domain Expertise With Self-Awareness in Software Systems: A Patternized Architecture Guideline.
Proc. IEEE, 2020

Kernel truncated regression representation for robust subspace clustering.
Inf. Sci., 2020

Objective reduction for visualising many-objective solution sets.
Inf. Sci., 2020

What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation.
Evol. Comput., 2020

Robust Reinforcement Learning for General Video Game Playing.
CoRR, 2020

Few-shots Parameter Tuning via Co-evolution.
CoRR, 2020

Knee Point Identification Based on Trade-Off Utility.
CoRR, 2020

Dynamic Multi-objective Optimization of the Travelling Thief Problem.
CoRR, 2020

xTML: A Unified Heterogeneous Transfer Metric Learning Framework for Multimedia Applications [Application Notes].
IEEE Comput. Intell. Mag., 2020

D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Responsive Multi-population Models for the Dynamic Travelling Thief Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Latent Context Based Soft Actor-Critic.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Boltzmann Exploration for Deterministic Policy Optimization.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

In Vivo Computation for Tumor Sensitization and Targeting at Different Tumor Growth Stages.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

On Performance Estimation in Automatic Algorithm Configuration.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling.
ACM Trans. Softw. Eng. Methodol., 2019

Probabilistic Feature Selection and Classification Vector Machine.
ACM Trans. Knowl. Discov. Data, 2019

Solving Transit Network Design Problem Using Many-Objective Evolutionary Approach.
IEEE Trans. Intell. Transp. Syst., 2019

Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions.
IEEE Trans. Fuzzy Syst., 2019

Evolutionary Generative Adversarial Networks.
IEEE Trans. Evol. Comput., 2019

Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019

A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019

Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation.
IEEE Trans. Evol. Comput., 2019

Solving Incremental Optimization Problems via Cooperative Coevolution.
IEEE Trans. Evol. Comput., 2019

Multiobjective Learning in the Model Space for Time Series Classification.
IEEE Trans. Cybern., 2019

Preface.
Nat. Comput., 2019

A hybrid clustering and evolutionary approach for wireless underground sensor network lifetime maximization.
Inf. Sci., 2019

Standing on the shoulders of giants: Seeding search-based multi-objective optimization with prior knowledge for software service composition.
Inf. Softw. Technol., 2019

Learning in the presence of class imbalance and concept drift.
Neurocomputing, 2019

A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks.
Evol. Comput., 2019

Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431).
Dagstuhl Reports, 2019

Quality Evaluation of Solution Sets in Multiobjective Optimisation: A Survey.
ACM Comput. Surv., 2019

Negatively Correlated Search as a Parallel Exploration Search Strategy.
CoRR, 2019

Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points.
CoRR, 2019

Competitive Co-evolution for Dynamic Constrained Optimisation.
CoRR, 2019

Learning from data streams and class imbalance.
Connect. Sci., 2019

Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems.
Appl. Soft Comput., 2019

Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms.
Artif. Intell., 2019

A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization.
IEEE Access, 2019

Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

DIDD: Identifying and Learning New Conceptual Data with Lower Diversity.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Adaptive-SAHiD Algorithm for Capacitated Arc Routing Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Learning Transferable Variation Operators in a Continuous Genetic Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Rectified Encoder Network for High-Dimensional Imbalanced Learning.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Explicit Planning for Efficient Exploration in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Topological Representation for Networks via Hierarchical Sampling.
Proceedings of the International Joint Conference on Neural Networks, 2019

Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Representation Learning for Heterogeneous Information Networks via Embedding Events.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

An Empirical Investigation of the Optimality and Monotonicity Properties of Multiobjective Archiving Methods.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

An Experimental Study of Large-scale Capacitated Vehicle Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Automatic Parameter Tuning using Bayesian Optimization Method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Investigation of Asynchrony in Dynamic Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Automatic Construction of Parallel Portfolios via Explicit Instance Grouping.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software.
ACM Trans. Softw. Eng. Methodol., 2018

A Systematic Study of Online Class Imbalance Learning With Concept Drift.
IEEE Trans. Neural Networks Learn. Syst., 2018

Concept Drift Adaptation by Exploiting Historical Knowledge.
IEEE Trans. Neural Networks Learn. Syst., 2018

Efficient Cluster-Based Boosting for Semisupervised Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Semisupervised Negative Correlation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

SNR-Constrained Heuristics for Optimizing the Scaling Parameter of Robust Audio Watermarking.
IEEE Trans. Multim., 2018

Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Turning High-Dimensional Optimization Into Computationally Expensive Optimization.
IEEE Trans. Evol. Comput., 2018

Population Evolvability: Dynamic Fitness Landscape Analysis for Population-Based Metaheuristic Algorithms.
IEEE Trans. Evol. Comput., 2018

Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective.
IEEE Trans. Evol. Comput., 2018

Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite.
IEEE Trans. Evol. Comput., 2018

R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points.
IEEE Trans. Evol. Comput., 2018

Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection.
IEEE Trans. Evol. Comput., 2018

Dynamic Multiobjectives Optimization With a Changing Number of Objectives.
IEEE Trans. Evol. Comput., 2018

Integration of Preferences in Decomposition Multiobjective Optimization.
IEEE Trans. Cybern., 2018

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Evol. Comput., 2018

A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems.
ACM Comput. Surv., 2018

Multiobjective Test Problems with Degenerate Pareto Fronts.
CoRR, 2018

Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions.
CoRR, 2018

Interactive ontology matching based on partial reference alignment.
Appl. Soft Comput., 2018

To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

A novel automated approach for software effort estimation based on data augmentation.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

A critical review of: "a practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering": essay on quality indicator selection for SBSE.
Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results, 2018

Computing-Inspired Detection of Multiple Cancers.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Changing or keeping solutions in dynamic optimization problems with switching costs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the effects of seeding strategies: a case for search-based multi-objective service composition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On Multiset Selection With Size Constraints.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Constraint Handling in NSGA-II for Solving Optimal Testing Resource Allocation Problems.
IEEE Trans. Reliab., 2017

Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model.
IEEE Trans. Knowl. Data Eng., 2017

A Cluster-Based Semisupervised Ensemble for Multiclass Classification.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization.
IEEE Trans. Evol. Comput., 2017

DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization.
IEEE Trans. Evol. Comput., 2017

Average Drift Analysis and Population Scalability.
IEEE Trans. Evol. Comput., 2017

Diversity Assessment in Many-Objective Optimization.
IEEE Trans. Cybern., 2017

A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition.
IEEE Trans. Cybern., 2017

Nadir point estimation for many-objective optimization problems based on emphasized critical regions.
Soft Comput., 2017

A multi-agent evolutionary algorithm for software module clustering problems.
Soft Comput., 2017

Optimal relay placement for lifetime maximization in wireless underground sensor networks.
Inf. Sci., 2017

Parallel population-based algorithm portfolios: An empirical study.
Neurocomputing, 2017

An iterative pseudo-gap enumeration approach for the Multidimensional Multiple-choice Knapsack Problem.
Eur. J. Oper. Res., 2017

Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191).
Dagstuhl Reports, 2017

Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization.
CoRR, 2017

Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms.
CoRR, 2017

What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation.
CoRR, 2017

Kernel Truncated Regression Representation for Robust Subspace Clustering.
CoRR, 2017

Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17).
CoRR, 2017

Experience-based Optimization: A Coevolutionary Approach.
CoRR, 2017

How to Read Many-Objective Solution Sets in Parallel Coordinates.
CoRR, 2017

Dominance Move: A Measure of Comparing Solution Sets in Multiobjective Optimization.
CoRR, 2017

Integration of Preferences in Decomposition Multi-Objective Optimization.
CoRR, 2017

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR, 2017

Guest Editors Introduction: Intelligence in the Cloud.
IEEE Cloud Comput., 2017

How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum].
IEEE Comput. Intell. Mag., 2017

Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models.
Autom. Softw. Eng., 2017

Touchable computation: Computing-inspired bio-detection.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Predicting Car Park Occupancy Rates in Smart Cities.
Proceedings of the Smart Cities - Second International Conference, Smart-CT 2017, Málaga, 2017

Adjusting Parallel Coordinates for Investigating Multi-objective Search.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Improvement of Reference Points for Decomposition Based Multi-objective Evolutionary Algorithms.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Surrogate Model Assisted Multi-objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Memetic algorithm with adaptive local search for Capacitated Arc Routing Problem.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

SaaS for Automated Job Performance Appraisals Using Service Technologies and Big Data Analytics.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

The Future of Camera Networks: Staying Smart in a Chaotic World.
Proceedings of the 11th International Conference on Distributed Smart Cameras, 2017

Combining conformal prediction and genetic programming for symbolic interval regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Parallel peaks: A visualization method for benchmark studies of multimodal optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Knowledge-based particle swarm optimization for PID controller tuning.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Conclusions and Outlook.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Self-aware Computing: Introduction and Motivation.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Defect- and Variation-Tolerant Logic Mapping in Nanocrossbar Using Bipartite Matching and Memetic Algorithm.
IEEE Trans. Very Large Scale Integr. Syst., 2016

Dynamic Software Project Scheduling through a Proactive-Rescheduling Method.
IEEE Trans. Software Eng., 2016

A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization.
ACM Trans. Math. Softw., 2016

Online Ensemble Learning of Data Streams with Gradually Evolved Classes.
IEEE Trans. Knowl. Data Eng., 2016

Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers.
IEEE Trans. Evol. Comput., 2016

A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2016

A Survey on Evolutionary Computation Approaches to Feature Selection.
IEEE Trans. Evol. Comput., 2016

Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2016

Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators.
IEEE Trans. Evol. Comput., 2016

Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery.
IEEE Trans. Evol. Comput., 2016

Regularity Model for Noisy Multiobjective Optimization.
IEEE Trans. Cybern., 2016

Binarization With Boosting and Oversampling for Multiclass Classification.
IEEE Trans. Cybern., 2016

Layered Ensemble Architecture for Time Series Forecasting.
IEEE Trans. Cybern., 2016

Objective reduction based on nonlinear correlation information entropy.
Soft Comput., 2016

On investigation of interdependence between sub-problems of the Travelling Thief Problem.
Soft Comput., 2016

Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis.
Soft Comput., 2016

Negatively Correlated Search.
IEEE J. Sel. Areas Commun., 2016

Success Probability of Exploration: a Concrete Analysis of Learning Efficiency.
CoRR, 2016

High-dimensional Black-box Optimization via Divide and Approximate Conquer.
CoRR, 2016

Probabilistic Feature Selection and Classification Vector Machine.
CoRR, 2016

Dynamic Multi-Objectives Optimization with a Changing Number of Objectives.
CoRR, 2016

FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime.
CoRR, 2016

Target shape design optimization by evolving B-splines with cooperative coevolution.
Appl. Soft Comput., 2016

An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Variable Interaction in Multi-objective Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Dealing with Multiple Classes in Online Class Imbalance Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Robust Online Time Series Prediction with Recurrent Neural Networks.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

A multi-modal optimization approach to single path planning for unmanned aerial vehicle.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving the performance of evolutionary engine calibration algorithms with principal component analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

CBCC3 - A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Search based recommender system using many-objective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Learning-to-Rank Approach to Software Defect Prediction.
IEEE Trans. Reliab., 2015

Resampling-Based Ensemble Methods for Online Class Imbalance Learning.
IEEE Trans. Knowl. Data Eng., 2015

Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression.
IEEE Trans. Knowl. Data Eng., 2015

A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks.
IEEE Trans. Intell. Transp. Syst., 2015

Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2015

Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance.
IEEE Trans. Evol. Comput., 2015

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey.
IEEE Trans. Evol. Comput., 2015

On the Easiest and Hardest Fitness Functions.
IEEE Trans. Evol. Comput., 2015

Robust Optimization Over Time: Problem Difficulties and Benchmark Problems.
IEEE Trans. Evol. Comput., 2015

A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem.
IEEE Trans. Cybern., 2015

Evolutionary Path Control Strategy for Solving Many-Objective Optimization Problem.
IEEE Trans. Cybern., 2015

Cooperative Coevolutionary Algorithm-Based Model Predictive Control Guaranteeing Stability of Multirobot Formation.
IEEE Trans. Control. Syst. Technol., 2015

Static, Dynamic, and Adaptive Heterogeneity in Distributed Smart Camera Networks.
ACM Trans. Auton. Adapt. Syst., 2015

The time complexity analysis of a class of gene expression programming.
Soft Comput., 2015

Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems.
Inf. Sci., 2015

Robust twin boosting for feature selection from high-dimensional omics data with label noise.
Inf. Sci., 2015

An efficient local search heuristic with row weighting for the unicost set covering problem.
Eur. J. Oper. Res., 2015

Many-Objective Evolutionary Algorithms: A Survey.
ACM Comput. Surv., 2015

Negatively Correlated Cooperative Search.
CoRR, 2015

Self-Aware and Self-Expressive Systems.
Computer, 2015

Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering.
Computer, 2015

A Growing Story [President's Message].
IEEE Comput. Intell. Mag., 2015

50th Anniversary of Fuzzy Logic [President's Message].
IEEE Comput. Intell. Mag., 2015

Newly Elected CIS Administrative Committee Members (2015-2017) [Society Briefs].
IEEE Comput. Intell. Mag., 2015

Means to an End Is Not the Same as the End Itself [President's Message].
IEEE Comput. Intell. Mag., 2015

Big Data Analytics, Data Science and the CIS [President's Message].
IEEE Comput. Intell. Mag., 2015

A clustering-ranking method for many-objective optimization.
Appl. Soft Comput., 2015

Increasingly Cautious Optimism for Practical PAC-MDP Exploration.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Model Metric Co-Learning for Time Series Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Keynote speech I: Co-evolutionary learning in game-playing.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Heuristic evolution with Genetic Programming for Traveling Thief Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

QoS-aware long-term based service composition in cloud computing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

An evolutionary algorithm for performance optimization at software architecture level.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis.
IEEE Trans. Software Eng., 2014

Socio-economic vision graph generation and handover in distributed smart camera networks.
ACM Trans. Sens. Networks, 2014

Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection.
IEEE Trans. Neural Networks Learn. Syst., 2014

Learning in the Model Space for Cognitive Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., 2014

MWMOTE-Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning.
IEEE Trans. Knowl. Data Eng., 2014

A New Memetic Algorithm With Fitness Approximation for the Defect-Tolerant Logic Mapping in Crossbar-Based Nanoarchitectures.
IEEE Trans. Evol. Comput., 2014

Frequency Fitness Assignment.
IEEE Trans. Evol. Comput., 2014

Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization.
IEEE Trans. Evol. Comput., 2014

Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2014

An Evolutionary Multiobjective Approach to Sparse Reconstruction.
IEEE Trans. Evol. Comput., 2014

Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data.
IEEE Trans. Evol. Comput., 2014

Corner Sort for Pareto-Based Many-Objective Optimization.
IEEE Trans. Cybern., 2014

Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem.
IEEE Trans. Cybern., 2014

Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13).
NII Shonan Meet. Rep., 2014

Population-based Algorithm Portfolios with automated constituent algorithms selection.
Inf. Sci., 2014

Runtime analysis of the (1 + 1) EA on computing unique input output sequences.
Inf. Sci., 2014

Co-evolutionary automatic programming for software development.
Inf. Sci., 2014

Multiobjective genetic programming for maximizing ROC performance.
Neurocomputing, 2014

A new self-adaptation scheme for differential evolution.
Neurocomputing, 2014

A review of concurrent optimisation methods.
Int. J. Bio Inspired Comput., 2014

Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network.
Eng. Appl. Artif. Intell., 2014

The Handbook of Engineering Self-Aware and Self-Expressive Systems.
CoRR, 2014

[President's Message].
IEEE Comput. Intell. Mag., 2014

Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem.
IEEE Comput. Intell. Mag., 2014

IEEE CIFEr 2014 - Leading Forum on Computational Finance and Economics Research in Academia and Industry [Conference Reports].
IEEE Comput. Intell. Mag., 2014

Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space.
Comput. Chem. Eng., 2014

Architecting Self-Aware Software Systems.
Proceedings of the 2014 IEEE/IFIP Conference on Software Architecture, 2014

Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-learners Approach.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Improving Efficiency of Heuristics for the Large Scale Traveling Thief Problem.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

The potential benefit of relevance vector machine to software effort estimation.
Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014

A multi-objective ensemble method for online class imbalance learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

How to make best use of cross-company data in software effort estimation?
Proceedings of the 36th International Conference on Software Engineering, 2014

Temperature management for heterogeneous multi-core FPGAs using adaptive evolutionary multi-objective approaches.
Proceedings of the 2014 IEEE International Conference on Evolvable Systems, 2014

Diversity-Driven Selection of Multiple Crossover Operators for the Capacitated Arc Routing Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014

Multi-colony ant algorithms for the dynamic travelling salesman problem.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

Evolving exact integer algorithms with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Variable neighborhood decomposition for Large Scale Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

An improved Two Archive Algorithm for Many-Objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Heuristic optimization for software project management with impacts of team efficiency.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

What are dynamic optimization problems?
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Model representation and cooperative coevolution for finite-state machine evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Markets and Clouds: Adaptive and Resilient Computational Resource Allocation Inspired by Economics.
Proceedings of the Adaptive, Dynamic, and Resilient Systems., 2014

2013
Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

Dynamic Time-Linkage Evolutionary Optimization: Definitions and Potential Solutions.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

Recent Advances in Evolutionary Algorithms for Job Shop Scheduling.
Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013

Using Class Imbalance Learning for Software Defect Prediction.
IEEE Trans. Reliab., 2013

Software effort estimation as a multiobjective learning problem.
ACM Trans. Softw. Eng. Methodol., 2013

Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification.
IEEE Trans. Neural Networks Learn. Syst., 2013

Negative Correlation Ensemble Learning for Ordinal Regression.
IEEE Trans. Neural Networks Learn. Syst., 2013

Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures.
IEEE Trans. Knowl. Data Eng., 2013

Complex Coevolutionary Dynamics - Structural Stability and Finite Population Effects.
IEEE Trans. Evol. Comput., 2013

Scaling Up Estimation of Distribution Algorithms for Continuous Optimization.
IEEE Trans. Evol. Comput., 2013

Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Evol. Comput., 2013

Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach.
IEEE Trans. Cybern., 2013

A framework for finding robust optimal solutions over time.
Memetic Comput., 2013

Ensembles and locality: Insight on improving software effort estimation.
Inf. Softw. Technol., 2013

Online Class Imbalance Learning and its Applications in Fault Detection.
Int. J. Comput. Intell. Appl., 2013

Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance
CoRR, 2013

A Unified Markov Chain Approach to Analysing Randomised Search Heuristics.
CoRR, 2013

Re-scheduling in railway networks.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Some Recent Work on Multi-objective Approaches to Search-Based Software Engineering.
Proceedings of the Search Based Software Engineering - 5th International Symposium, 2013

Learning to be Different: Heterogeneity and Efficiency in Distributed Smart Camera Networks.
Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2013

CamSim: A Distributed Smart Camera Network Simulator.
Proceedings of the 7th IEEE International Conference on Self-Adaptation and Self-Organizing Systems Workshops, 2013

The impact of parameter tuning on software effort estimation using learning machines.
Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation.
Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

A memetic algorithm for uncertain Capacitated Arc Routing Problems.
Proceedings of the 2013 IEEE Workshop on Memetic Computing, 2013

Can Diversity amongst Learners Improve Online Object Tracking?
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Model-based kernel for efficient time series analysis.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Concept drift detection for online class imbalance learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract.
Proceedings of the IJCAI 2013, 2013

Pipe failure prediction: A data mining method.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Challenges and opportunities in dynamic optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Finding Robust Solutions to Dynamic Optimization Problems.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

A learning framework for online class imbalance learning.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

Decomposing Large-Scale Capacitated Arc Routing Problems using a random route grouping method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Exposing market mechanism design trade-offs via multi-objective evolutionary search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Selected Aspects of Natural Computing.
Proceedings of the Handbook of Natural Computing, 2012

Ubiquity symposium: Evolutionary computation and the processes of life: the essence of evolutionary computation.
Ubiquity, 2012

An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Multiclass Imbalance Problems: Analysis and Potential Solutions.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Evolutionary and Principled Search Strategies for Sensornet Protocol Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Semisupervised Classification With Cluster Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2012

DDD: A New Ensemble Approach for Dealing with Concept Drift.
IEEE Trans. Knowl. Data Eng., 2012

Cooperatively Coevolving Particle Swarms for Large Scale Optimization.
IEEE Trans. Evol. Comput., 2012

On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2012

Improving Generalization Performance in Co-Evolutionary Learning.
IEEE Trans. Evol. Comput., 2012

Continuous Dynamic Constrained Optimization - The Challenges.
IEEE Trans. Evol. Comput., 2012

Editorial to the special issue on "Theoretical Foundations of Evolutionary Computation".
Theor. Comput. Sci., 2012

A large population size can be unhelpful in evolutionary algorithms.
Theor. Comput. Sci., 2012

Evolutionary mechanics: new engineering principles for the emergence of flexibility in a dynamic and uncertain world.
Nat. Comput., 2012

A grey-box approach to automated mechanism design.
Electron. Commer. Res. Appl., 2012

Learning in the Model Space for Fault Diagnosis
CoRR, 2012

Diversity Guided Evolutionary Programming: A novel approach for continuous optimization.
Appl. Soft Comput., 2012

On the approximation ability of evolutionary optimization with application to minimum set cover.
Artif. Intell., 2012

Unpacking and Understanding Evolutionary Algorithms.
Proceedings of the Advances in Computational Intelligence, 2012

Can cross-company data improve performance in software effort estimation?
Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

A Benchmark Generator for Dynamic Permutation-Encoded Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Homogeneous and Heterogeneous Island Models for the Set Cover Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Community Detection Using Cooperative Co-evolutionary Differential Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Using unreliable data for creating more reliable online learners.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A Learning-to-Rank Algorithm for Constructing Defect Prediction Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Improved adaptivity and robustness in decentralised multi-camera networks.
Proceedings of the Sixth International Conference on Distributed Smart Cameras, 2012

Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Dynamic adaptive search based software engineering.
Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2012

Resource-aware configuration in smart camera networks.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Characterizing environmental changes in Robust Optimization Over Time.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A Hybrid Ant Colony Optimization Algorithm for the Extended Capacitated Arc Routing Problem.
IEEE Trans. Syst. Man Cybern. Part B, 2011

A Memetic Algorithm for Periodic Capacitated Arc Routing Problem.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Recurring Two-Stage Evolutionary Programming: A Novel Approach for Numeric Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Software Module Clustering as a Multi-Objective Search Problem.
IEEE Trans. Software Eng., 2011

Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., 2011

Scalability of generalized adaptive differential evolution for large-scale continuous optimization.
Soft Comput., 2011

Dynamic combinatorial optimisation problems: an analysis of the subset sum problem.
Soft Comput., 2011

Crossover can be constructive when computing unique input-output sequences.
Soft Comput., 2011

The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization
CoRR, 2011

Short-Term Load Forecasting with Neural Network Ensembles: A Comparative Study [Application Notes].
IEEE Comput. Intell. Mag., 2011

Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate.
Sci. China Inf. Sci., 2011

A Survey of Self-Awareness and Its Application in Computing Systems.
Proceedings of the Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems, 2011

A principled evaluation of ensembles of learning machines for software effort estimation.
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011

Fitness Landscape-Based Parameter Tuning Method for Evolutionary Algorithms for Computing Unique Input Output Sequences.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

A socio-economic approach to online vision graph generation and handover in distributed smart camera networks.
Proceedings of the 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, 2011

The Evolution of Evolutionary Computation.
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011

Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolution of neural symmetry and its coupled alignment to body plan morphology.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Non-uniform mutation rates for problems with unknown solution lengths.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

Fitness-Probability Cloud and a Measure of Problem Hardness for Evolutionary Algorithms.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations.
Proceedings of the International Conference on Complex, 2011

Neural networks ensembles for short-term load forecasting.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

A Memetic Genetic Programming with decision tree-based local search for classification problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Classification-assisted Differential Evolution for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Co-learning Segmentation in Marketplaces.
Proceedings of the Adaptive and Learning Agents - International Workshop, 2011

Market niching in multi-attribute computational resource allocation systems.
Proceedings of the 13th International Conference on Electronic Commerce, 2011

A diversity dilemma in evolutionary markets.
Proceedings of the 13th International Conference on Electronic Commerce, 2011

Runtime Analysis of Evolutionary Algorithms for Discrete Optimization.
Proceedings of the Theory of Randomized Search Heuristics: Foundations and Recent Developments., 2011

2010
A Memetic Algorithm for Multi-Level Redundancy Allocation.
IEEE Trans. Reliab., 2010

Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems.
IEEE Trans. Reliab., 2010

Sparse approximation through boosting for learning large scale kernel machines.
IEEE Trans. Neural Networks, 2010

The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift.
IEEE Trans. Knowl. Data Eng., 2010

Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning.
IEEE Trans. Knowl. Data Eng., 2010

An Evolutionary Approach to the Multidepot Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., 2010

Population-Based Algorithm Portfolios for Numerical Optimization.
IEEE Trans. Evol. Comput., 2010

Analysis of Computational Time of Simple Estimation of Distribution Algorithms.
IEEE Trans. Evol. Comput., 2010

Choosing selection pressure for wide-gap problems.
Theor. Comput. Sci., 2010

Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application.
Pattern Recognit., 2010

Evolutionary Algorithms as Guaranteed Approximation Optimizers
CoRR, 2010

Resource allocation in decentralised computational systems: an evolutionary market-based approach.
Auton. Agents Multi Agent Syst., 2010

Market-based control of computational systems: introduction to the special issue.
Auton. Agents Multi Agent Syst., 2010

Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat.
Proceedings of the From Animals to Animats 11, 2010

The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments.
Proceedings of the Parallel Problem Solving from Nature, 2010

Negative correlation learning for classification ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2010

Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles.
Proceedings of the ICDMW 2010, 2010

Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game.
Proceedings of the Applications of Evolutionary Computation, 2010

On Reliability Of Simulations Of Complex Co-Evolutionary Processes.
Proceedings of the European Conference on Modelling and Simulation, 2010

Robust optimization over time - A new perspective on dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

On the role of modularity in evolutionary dynamic optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Cooperative Co-evolution for large scale optimization through more frequent random grouping.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Cooperative Co-evolution with delta grouping for large scale non-separable function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Capacitated arc routing problem in uncertain environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Using GP to evolve decision rules for classification in financial data sets.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
A Global Repair Operator for Capacitated Arc Routing Problem.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A New Constructive Algorithm for Architectural and Functional Adaptation of Artificial Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A New Adaptive Merging and Growing Algorithm for Designing Artificial Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Regularized Negative Correlation Learning for Neural Network Ensembles.
IEEE Trans. Neural Networks, 2009

Probabilistic Classification Vector Machines.
IEEE Trans. Neural Networks, 2009

Predictive Ensemble Pruning by Expectation Propagation.
IEEE Trans. Knowl. Data Eng., 2009

Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2009

Analysis of the (1+1) -EA for Finding Approximate Solutions to Vertex Cover Problems.
IEEE Trans. Evol. Comput., 2009

Relationship Between Generalization and Diversity in Coevolutionary Learning.
IEEE Trans. Comput. Intell. AI Games, 2009

Negative correlation in incremental learning.
Nat. Comput., 2009

Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization.
Memetic Comput., 2009

Interactive Genetic Algorithms with Individual Fitness Not Assigned by Human.
J. Univers. Comput. Sci., 2009

Innovative Batik Design with an Interactive Evolutionary Art System.
J. Comput. Sci. Technol., 2009

Selective negative correlation learning approach to incremental learning.
Neurocomputing, 2009

From nature to computing and back.
Frontiers Comput. Sci. China, 2009

Runtime analysis of search heuristics on software engineering problems.
Frontiers Comput. Sci. China, 2009

Improving the performance of evolutionary algorithms in grid-based puzzles resolution.
Evol. Intell., 2009

IEEE Fellows - Class of 2009 [Society news].
IEEE Comput. Intell. Mag., 2009

Self-optimizing architecture for ensuring Quality Attributes in the cloud.
Proceedings of the Joint Working IEEE/IFIP Conference on Software Architecture 2009 and European Conference on Software Architecture 2009, 2009

Diversity exploration and negative correlation learning on imbalanced data sets.
Proceedings of the International Joint Conference on Neural Networks, 2009

Using diversity to handle concept drift in on-line learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning.
Proceedings of the ICDM Workshops 2009, 2009

Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning.
Proceedings of the Artificial Neural Networks, 2009

Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

The Dynamic Knapsack Problem Revisited: A New Benchmark Problem for Dynamic Combinatorial Optimisation.
Proceedings of the Applications of Evolutionary Computing, 2009

Dynamic Time-Linkage Problems Revisited.
Proceedings of the Applications of Evolutionary Computing, 2009

Co-Evolutionary Learning Of Contextual Asymmetric Actors.
Proceedings of the European Conference on Modelling and Simulation, 2009

The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

Diversity analysis on imbalanced data sets by using ensemble models.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A multi-objective approach to Redundancy Allocation Problem in parallel-series systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Comparing design of experiments and evolutionary approaches to multi-objective optimisation of sensornet protocols.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Multi-start JADE with knowledge transfer for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Benchmarking and solving dynamic constrained problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Improved memetic algorithm for Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Evolutionary market agents and heterogeneous service providers: Achieving desired resource allocations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

When is an estimation of distribution algorithm better than an evolutionary algorithm?
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

An evaluation of Differential Evolution in software test data generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

How Specialised Are Specialists? Generalisation Properties of Entries from the 2008 and 2009 TAC Market Design Competitions.
Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2009

2008
Evolving Artificial Neural Network Ensembles.
Proceedings of the Computational Intelligence: A Compendium, 2008

A Computational Intelligence Approach to Railway Track Intervention Planning.
Proceedings of the Evolutionary Computation in Practice, 2008

Bagging and Boosting Negatively Correlated Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Neural-Based Learning Classifier Systems.
IEEE Trans. Knowl. Data Eng., 2008

Population-Based Incremental Learning With Associative Memory for Dynamic Environments.
IEEE Trans. Evol. Comput., 2008

Measuring Generalization Performance in Coevolutionary Learning.
IEEE Trans. Evol. Comput., 2008

Neuronal population oscillations of rat hippocampus during epileptic seizures.
Neural Networks, 2008

Preface.
J. Comput. Sci. Technol., 2008

Large scale evolutionary optimization using cooperative coevolution.
Inf. Sci., 2008

Special Issue on "Nature Inspired Problem-Solving".
Inf. Sci., 2008

Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms.
Inf. Sci., 2008

Search based software testing of object-oriented containers.
Inf. Sci., 2008

An Experimental Study of Hybridizing Cultural Algorithms and Local Search.
Int. J. Neural Syst., 2008

Evolving edited k-Nearest Neighbor Classifiers.
Int. J. Neural Syst., 2008

A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design.
Int. J. Comput. Intell. Appl., 2008

Theoretical foundations of evolutionary computation.
Genet. Program. Evolvable Mach., 2008

Automatic feature-queried bird identification system based on entropy and fuzzy similarity.
Expert Syst. Appl., 2008

Evolving artificial neural network ensembles.
IEEE Comput. Intell. Mag., 2008

Computational intelligence in economic games and policy design [Research Frontier].
IEEE Comput. Intell. Mag., 2008

Assignment of cells to switches in a cellular mobile network using a hybrid Hopfield network-genetic algorithm approach.
Appl. Soft Comput., 2008

Optimal switch location in mobile communication networks using hybrid genetic algorithms.
Appl. Soft Comput., 2008

Attributes of Dynamic Combinatorial Optimisation.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Solving Very Difficult Japanese Puzzles with a Hybrid Evolutionary-Logic Algorithm.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Multi-objective Improvement of Software Using Co-evolution and Smart Seeding.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Evolutionary Market Agents for Resource Allocation in Decentralised Systems.
Proceedings of the Parallel Problem Solving from Nature, 2008

Making a Difference to Differential Evolution.
Proceedings of the Advances in Metaheuristics for Hard Optimization, 2008

A Self-adaptive Evolutionary Programming Based on Optimum Search Direction.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

On-line bagging Negative Correlation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

Selective negative correlation learning algorithm for incremental learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

Search-Based Testing of Complex Simulink Models containing Stateflow Diagrams.
Proceedings of the First International Conference on Software Testing Verification and Validation, 2008

Handling Constraints for Search Based Software Test Data Generation.
Proceedings of the First International Conference on Software Testing Verification and Validation, 2008

Theoretical Runtime Analyses of Search Algorithms on the Test Data Generation for the Triangle Classification Problem.
Proceedings of the First International Conference on Software Testing Verification and Validation, 2008

Evolution of Neural Organization in a Hydra-Like Animat.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Comparison of GAs Penalizing Infeasible Solutions and Repairing Infeasible Solutions on the 0-1 Knapsack Problem.
Proceedings of the Theory of Evolutionary Algorithms, 27.01. - 01.02.2008, 2008

An immigrants scheme based on environmental information for genetic algorithms in changing environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Multilevel cooperative coevolution for large scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Self-adaptive differential evolution with neighborhood search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A multi-objective approach to testing resource allocation in modular software systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Toward a gene regulatory network model for evolving chemotaxis behavior.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Analysis of population-based evolutionary algorithms for the vertex cover problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Direction matters in high-dimensional optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An effective evolutionary algorithm for discrete-valued data clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A novel co-evolutionary approach to automatic software bug fixing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
A Gradient-Based Forward Greedy Algorithm for Space Gaussian Process Regression.
Proceedings of the Trends in Neural Computation, 2007

Robust Salting Route Optimization Using Evolutionary Algorithms.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Evolutionary Design of Digital Filters With Application to Subband Coding and Data Transmission.
IEEE Trans. Signal Process., 2007

A Memetic Algorithm for VLSI Floorplanning.
IEEE Trans. Syst. Man Cybern. Part B, 2007

In Memoriam: Dr. Lawrence J. Fogel.
IEEE Trans. Evol. Comput., 2007

Multiple Choices and Reputation in Multiagent Interactions.
IEEE Trans. Evol. Comput., 2007

Teaching Advanced Features of Evolutionary Algorithms Using Japanese Puzzles.
IEEE Trans. Educ., 2007

Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results.
Int. J. Autom. Comput., 2007

A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability.
Evol. Comput., 2007

Special Issue on Evolutionary Learning and Optimisation.
Connect. Sci., 2007

A novel and practicable on-chip adaptive lossless image compression scheme using intrinsic evolvable hardware.
Connect. Sci., 2007

A wavelet-based data pre-processing analysis approach in mass spectrometry.
Comput. Biol. Medicine, 2007

Coevolving programs and unit tests from their specification.
Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), 2007

Using a Genetic Algorithm for Editing k-Nearest Neighbor Classifiers.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Application of Grid Task Scheduling Algorithm RR to Medium-Grained Evolution Strategies.
Proceedings of the Third International Conference on Natural Computation, 2007

Evolutionary Ensemble for <i>In Silico</i> Prediction of Ames Test Mutagenicity.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Solving Japanese Puzzles with Heuristics.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

Target shape design optimization by evolving splines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Differential evolution for high-dimensional function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Estimation of distribution algorithms for testing object oriented software.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

How well do multi-objective evolutionary algorithms scale to large problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolutionary algorithms and the Vertex Cover problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Runtime analysis of (1+l) EA on computing unique input output sequences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Hybridisation of evolutionary programming and machine learning with k-nearest neighbor estimation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolving cooperation in the non-iterated prisoner's dilemma: A social network inspired approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Covariance matrix repairing in Gaussian based EDAs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolutionary random neural ensembles based on negative correlation learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

On the analysis of average time complexity of estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Memetic Algorithm for test data generation of Object-Oriented software.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

The Iterated Prisoners' Dilemma - 20 Years On
Advances in Natural Computation 4, World Scientific, ISBN: 978-981-4475-37-2, 2007

2006
Trade-Off Between Diversity and Accuracy in Ensemble Generation.
Proceedings of the Multi-Objective Machine Learning, 2006

An evolutionary clustering algorithm for gene expression microarray data analysis.
IEEE Trans. Evol. Comput., 2006

An analysis of diversity measures.
Mach. Learn., 2006

An extended contract net mechanism for dynamic supply chain formation and its application in China petroleum supply chain management.
Multiagent Grid Syst., 2006

Ensemble Learning Using Multi-Objective Evolutionary Algorithms.
J. Math. Model. Algorithms, 2006

Recent Advances in Evolutionary Computation.
J. Comput. Sci. Technol., 2006

Evolving hybrid ensembles of learning machines for better generalisation.
Neurocomputing, 2006

Multi-network evolutionary systems and automatic decomposition of complex problems.
Int. J. Gen. Syst., 2006

Current developments and future directions of bio-inspired computation and implications for ecoinformatics.
Ecol. Informatics, 2006

Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems.
Comput. Oper. Res., 2006

A research-led and industry-oriented MSc program in natural computation.
IEEE Comput. Intell. Mag., 2006

Evolutionary computation benchmarking repository [Developmental Tools].
IEEE Comput. Intell. Mag., 2006

Robust route optimization for gritting/salting trucks: a CERCIA experience.
IEEE Comput. Intell. Mag., 2006

Gene selection algorithms for microarray data based on least squares support vector machine.
BMC Bioinform., 2006

Hybridisation of Particle Swarm Optimization and Fast Evolutionary Programming.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Towards Intrinsic Evolvable Hardware for Predictive Lossless Image Compression.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Environments Conducive to Evolution of Modularity.
Proceedings of the Parallel Problem Solving from Nature, 2006

Greedy forward selection algorithms to Sparse Gaussian Process Regression.
Proceedings of the International Joint Conference on Neural Networks, 2006

Hybridizing Cultural Algorithms and Local Search.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Make Fast Evolutionary Programming Robust by Search Step Control.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Boosting Kernel Models for Regression.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Probabilistic Ensemble Pruning Algorithm.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Efficient Forward Regression with Marginal Likelihood.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Diversity creation in local search for the evolution of neural network ensembles.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

A New Multi-objective Evolutionary Optimisation Algorithm: The Two-Archive Algorithm.
Proceedings of the Computational Intelligence and Security, International Conference, 2006

Self-Adapting Payoff Matrices in Repeated Interactions.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG06), 2006

Extracting a Set of Robust Pareto-Optimal Parameters for Hydrologic Models using NSGA-II and SCEM.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Evolving Neural Network Ensembles by Fitness Sharing.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Analysis of Scalable Parallel Evolutionary Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Robust Solution of Salting Route Optimisation Using Evolutionary Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Speciation Techniques in Evolved Ensembles with Negative Correlation Learning.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A GA approach to the optimal placement of sensors in wireless sensor networks with obstacles and preferences.
Proceedings of the 3rd IEEE Consumer Communications and Networking Conference, 2006

Introduction to Evolvable Hardware.
Proceedings of the Evolvable Hardware, 2006

2005
Search biases in constrained evolutionary optimization.
IEEE Trans. Syst. Man Cybern. Part C, 2005

Clustering and learning Gaussian distribution for continuous optimization.
IEEE Trans. Syst. Man Cybern. Part C, 2005

A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem.
IEEE Trans. Syst. Man Cybern. Part C, 2005

Multi-scale statistical process monitoring in machining.
IEEE Trans. Ind. Electron., 2005

Behavioral diversity, choices and noise in the iterated prisoner's dilemma.
IEEE Trans. Evol. Comput., 2005

Experimental study on population-based incremental learning algorithms for dynamic optimization problems.
Soft Comput., 2005

Linear dimensionality reduction using relevance weighted LDA.
Pattern Recognit., 2005

Diversity creation methods: a survey and categorisation.
Inf. Fusion, 2005

Metaheuristic Approaches to Traffic Grooming in Wdm Optical Networks.
Int. J. Comput. Intell. Appl., 2005

Editorial.
Int. J. Comput. Intell. Appl., 2005

Meta-Heuristic Algorithms for FPGA Segmented Channel Routing Problems with Non-standard Cost Functions.
Genet. Program. Evolvable Mach., 2005

A Game-Theoretic Approach for Designing Mixed Mutation Strategies.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Application of Fuzzy Similarity to Prediction of Epileptic Seizures Using EEG Signals.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Evolutionary framework for the construction of diverse hybrid ensembles.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

Cost-sensitive classification with genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Co-evolutionary modular neural networks for automatic problem decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Dynamic salting route optimisation using evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
A hybrid Hopfield network-genetic algorithm approach for the terminal assignment problem.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Evolutionary programming using mutations based on the Levy probability distribution.
IEEE Trans. Evol. Comput., 2004

Digital filter design using multiple pareto fronts.
Soft Comput., 2004

A study of drift analysis for estimating computation time of evolutionary algorithms.
Nat. Comput., 2004

Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching.
J. Comput. Sci. Technol., 2004

Evolving Neural Network Ensembles by Minimization of Mutual Information.
Int. J. Hybrid Intell. Syst., 2004

An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies.
Proceedings of the Parallel Problem Solving from Nature, 2004

Credit Assignment Among Neurons in Co-evolving Populations.
Proceedings of the Parallel Problem Solving from Nature, 2004

An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

DIVACE: Diverse and Accurate Ensemble Learning Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Nonlinear Feature Extraction Using Evolutionary Algorithm.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

A novel memetic algorithm with random multi-local-search: a case study of TSP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

How powerful is your evolutionary, algorithm?
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Non-standard cost terminal assignment problems using tabu search approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Parallel evolutionary programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Generalized LDA using relevance weighting and evolution strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

To understand one-dimensional continuous fitness landscapes by drift analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

The impact of noise on iterated prisoner's dilemma with multiple levels of cooperation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Materialized view selection as constrained evolutionary optimization.
IEEE Trans. Syst. Man Cybern. Part C, 2003

A constructive algorithm for training cooperative neural network ensembles.
IEEE Trans. Neural Networks, 2003

A novel evolutionary data mining algorithm with applications to churn prediction.
IEEE Trans. Evol. Comput., 2003

Towards an analytic framework for analysing the computation time of evolutionary algorithms.
Artif. Intell., 2003

Optimisation and Learning in Neural Network Learning.
Proceedings of the IASTED International Conference on Modelling, Simulation and Optimization, 2003

Adaptive Divide-and-Conquer Using Populations and Ensembles.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003

Using Negative Correlation to Evolve Fault-Tolerant Circuits.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2003

Performance Scaling of Multi-objective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

Evolutionary search and constraint violations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

An analysis of evolutionary algorithms for finding approximation solutions to hard optimisation problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms.
IEEE Trans. Evol. Comput., 2002

Co-Evolution in Iterated Prisoner's Dilemma with Intermediate Levels of Cooperation: Application to Missile Defense.
Int. J. Comput. Intell. Appl., 2002

A new evolutionary approach to cutting stock problems with and without contiguity.
Comput. Oper. Res., 2002

Erratum to: Drift analysis and average time complexity of evolutionary algorithms [Artificial Intelligence 127 (2001) 57-85].
Artif. Intell., 2002

Automatic Modularization with Speciated Neural Network Ensemble.
Proceedings of the Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 2002

Learning and Evolution by Minimization of Mutual Information.
Proceedings of the Parallel Problem Solving from Nature, 2002

Evolving SQL Queries for Data Mining.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

Maintaining Population Diversity By Minimizing Mutual Information.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Search Step Size Control In Fast Evolutionary Programming.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Getting Most Out of Evolutionary Approaches.
Proceedings of the 4th NASA / DoD Workshop on Evolvable Hardware (EH 2002), 2002

Continuous selection and self-adaptive evolution strategies.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

How to control search step size in fast evolutionary programming.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
An evolutionary approach to materialized views selection in a data warehouse environment.
IEEE Trans. Syst. Man Cybern. Part C, 2001

Simulated Evolution and Learning: An Introduction.
Appl. Intell., 2001

Adapting Self-Adaptive Parameters in Evolutionary Algorithms.
Appl. Intell., 2001

Drift analysis and average time complexity of evolutionary algorithms.
Artif. Intell., 2001

Evolutionary Design Calibration.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2001

Scaling up fast evolutionary programming with cooperative coevolution.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Evolving a cooperative population of neural networks by minimizing mutual information.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Evolving neural networks for Hang Seng stock index forecast.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Evolutionary algorithms with adaptive Levy mutations.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Why more choices cause less cooperation in iterated prisoner's dilemma.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Stochastic ranking for constrained evolutionary optimization.
IEEE Trans. Evol. Comput., 2000

Evolutionary ensembles with negative correlation learning.
IEEE Trans. Evol. Comput., 2000

Solving equations by hybrid evolutionary computation techniques.
IEEE Trans. Evol. Comput., 2000

The Impact of Payoff Function and Local Interaction on the N -Player Iterated Prisoner's Dilemma.
Knowl. Inf. Syst., 2000

Editorial: Simulated Evolution and Learning.
J. Adv. Comput. Intell. Intell. Informatics, 2000

Application of Genetic Algorithm and K-Nearest Neighbour Method in Real World Medical Fraud Detection Problem.
J. Adv. Comput. Intell. Intell. Informatics, 2000

Exploiting coalition in co-evolutionary learning.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

Using multiple representations in evolutionary algorithms.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
Promises and challenges of evolvable hardware.
IEEE Trans. Syst. Man Cybern. Part C, 1999

Simultaneous training of negatively correlated neural networks in an ensemble.
IEEE Trans. Syst. Man Cybern. Part B, 1999

Evolutionary programming made faster.
IEEE Trans. Evol. Comput., 1999

The GRD Chip: Genetic Reconfiguration of DSPs for Neural Network Processing.
IEEE Trans. Computers, 1999

Evolving artificial neural networks.
Proc. IEEE, 1999

Ensemble learning via negative correlation.
Neural Networks, 1999

Evolutionary computation comes of age.
Cogn. Syst. Res., 1999

Following the Path of Evolvable Hardware - Introduction.
Commun. ACM, 1999

Negatively correlated neural networks for classification.
Artif. Life Robotics, 1999

Evolving materialized views in data warehouse.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Neural networks for breast cancer diagnosis.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

How does evolutionary computation fit into IT postgraduate teaching.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Emergence of cooperative coalition in NIPD game with localization of interaction and learning.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Combining landscape approximation and local search in global optimization.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
Making use of population information in evolutionary artificial neural networks.
IEEE Trans. Syst. Man Cybern. Part B, 1998

Maximum Matching on Boltzmann Machines.
Neural Process. Lett., 1998

A Novel Penalty Function Approach to Constrained Optimization Problems with Genetic Algorithms.
J. Adv. Comput. Intell. Intell. Informatics, 1998

Introduction: Evolutionary Learning.
Appl. Intell., 1998

Time Series Prediction by Using Negatively Correlated Neural Networks.
Proceedings of the Simulated Evolution and Learning, 1998

Dynamic Control of Adaptive Parameters in Evolutionary Programming.
Proceedings of the Simulated Evolution and Learning, 1998

Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection.
Proceedings of the Simulated Evolution and Learning, 1998

Towards Designing Neural Network Ensembles by Evolution.
Proceedings of the Parallel Problem Solving from Nature, 1998

Scaling Up Evolutionary Programming Algorithms.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

Solving Cutting Stock Problems by Evolutionary Programming.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

An Experimental Investigation of Self-Adaptation in Evolutionary Programming.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997
A new evolutionary system for evolving artificial neural networks.
IEEE Trans. Neural Networks, 1997

Speciation as automatic categorical modularization.
IEEE Trans. Evol. Comput., 1997

Solving Constrained Optimization Problems with New Penalty Function Approach Using Genetic Algorithms.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes.
Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

Fast Evolution Strategies.
Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks.
Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

1996
EPNet for Chaotic Time-Series Prediction.
Proceedings of the Simulated Evolution and Learning, First Asia-Pacific Conference, 1996

Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing Compared.
Proceedings of the Parallel Problem Solving from Nature, 1996

Ensemble Structure of Evolutionary Artificial Neural Networks.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Evolutionary Design of Artificial Neural Networks with Different Nodes.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Automatic Modularization by Speciation.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Fast Evolutionary Programming.
Proceedings of the Fifth Annual Conference on Evolutionary Programming, 1996

Evolving Artificial Neural Networks through Evolutionary Programming.
Proceedings of the Fifth Annual Conference on Evolutionary Programming, 1996

1995
A Note on Neural Sorting Networks with O(1) Time Complexity.
Inf. Process. Lett., 1995

A new simulated annealing algorithm.
Int. J. Comput. Math., 1995

Call Routing by Simulated Annealing.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995

1994
An Experimental Study of N-Person Iterated Prisoner's Dilemma Games.
Informatica (Slovenia), 1994

An Introduction to the Special Issue on Evolutionary Computation.
Informatica (Slovenia), 1994

On Evolving Robust Strategies for Iterated Prisoner's Dilemma.
Proceedings of the Process in Evolutionary Computation, 1994

1993
An empirical study of genetic operators in genetic algorithms.
Microprocess. Microprogramming, 1993

Evolutionary Artificial Neural Networks.
Int. J. Neural Syst., 1993

A review of evolutionary artificial neural networks.
Int. J. Intell. Syst., 1993

1992
Finding Approximate Solutions to NP-Hard Problems by Neural Networks is Hard.
Inf. Process. Lett., 1992

1991
Simulated annealing with extended neighbourhood.
Int. J. Comput. Math., 1991


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