Shengxiang Yang

Orcid: 0000-0001-7222-4917

Affiliations:
  • De Montfort University, School of Computer Science and Informatics, Leicester, UK
  • Brunel University, Department of Information Systems and Computing, Uxbridge, UK (2010 - 2012)
  • University of Leicester, Department of Computer Science, UK (2000 - 2010)
  • King's College London, Department of Computer Science, UK (1999 - 2000)
  • Northeastern University, Institute of Systems Engineering, Shenyang, China (PhD 1999)


According to our database1, Shengxiang Yang authored at least 375 papers between 2000 and 2025.

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Bibliography

2025
Dynamic multiobjective optimization via an improved r-dominance relation and a novel prediction approach.
Expert Syst. Appl., 2025

2024
Particle Search Control Network for Dynamic Optimization.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024

A Dynamic-Niching-Based Pareto Domination for Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput., October, 2024

Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm.
IEEE Trans. Evol. Comput., October, 2024

Learning to Guide Particle Search for Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., September, 2024

Evolutionary Multi/Many-Objective Optimisation via Bilevel Decomposition.
IEEE CAA J. Autom. Sinica, September, 2024

Optimizing electric vehicle routing with nonlinear charging and time windows using improved differential evolution algorithm.
Clust. Comput., July, 2024

Knowledge Transfer-Based Multifactorial Evolutionary Algorithm for Selective Maintenance Optimization of Multistate Complex Systems.
IEEE Trans. Reliab., June, 2024

Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments.
IEEE Trans. Evol. Comput., June, 2024

A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection.
IEEE Trans. Evol. Comput., April, 2024

Augmented Sparse Representation for Incomplete Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint.
IEEE Trans. Evol. Comput., February, 2024

A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes.
IEEE Trans. Evol. Comput., February, 2024

Weak relationship indicator-based evolutionary algorithm for multimodal multi-objective optimization.
Inf. Sci., January, 2024

Dynamic niching particle swarm optimization with an external archive-guided mechanism for multimodal multi-objective optimization.
Inf. Sci., January, 2024

Learning to search promising regions by space partitioning for evolutionary methods.
Swarm Evol. Comput., 2024

A population hierarchical-based evolutionary algorithm for large-scale many-objective optimization.
Swarm Evol. Comput., 2024

A novel preference-driven evolutionary algorithm for dynamic multi-objective problems.
Swarm Evol. Comput., 2024

A similarity-detection-based evolutionary algorithm for large-scale multimodal multi-objective optimization.
Swarm Evol. Comput., 2024

Continuous variation operator configuration for decomposition-based evolutionary multi-objective optimization.
Swarm Evol. Comput., 2024

The IGD-based prediction strategy for dynamic multi-objective optimization.
Swarm Evol. Comput., 2024

A multi-strategy optimizer for energy minimization of multi-UAV-assisted mobile edge computing.
Swarm Evol. Comput., 2024

Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement.
Swarm Evol. Comput., 2024

A two-stage direction-guided evolutionary algorithm for large-scale multiobjective optimization.
Inf. Sci., 2024

A cluster prediction strategy with the induced mutation for dynamic multi-objective optimization.
Inf. Sci., 2024

A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response.
Expert Syst. Appl., 2024

A new framework of change response for dynamic multi-objective optimization.
Expert Syst. Appl., 2024

An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition.
CoRR, 2024

Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization.
CoRR, 2024

Dynamic ε-multilevel hierarchy constraint optimization with adaptive boundary constraint handling technology.
Appl. Soft Comput., 2024

A dual-population coevolutionary algorithm for balancing convergence and diversity in the decision space in multimodal multi-objective optimization.
Appl. Soft Comput., 2024

Robust online active learning with cluster-based local drift detection for unbalanced imperfect data.
Appl. Soft Comput., 2024

Online semi-supervised active learning ensemble classification for evolving imbalanced data streams.
Appl. Soft Comput., 2024

Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures.
Proceedings of the Intelligent Information Processing XII, 2024

Hand Gesture Recognition Using a Multi-modal Deep Neural Network.
Proceedings of the Intelligent Information Processing XII, 2024

3D Object Reconstruction with Deep Learning.
Proceedings of the Intelligent Information Processing XII, 2024

Differential Evolution based on Local Grid Search for Multimodal Multiobjective Optimization with Local Pareto Fronts.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

A Dynamic Preference-driven Evolutionary Algorithm for Solving Dynamic Multi-objective Problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Intelligent Optimization - Principles, Algorithms and Applications
Springer, ISBN: 978-981-97-3285-2, 2024

2023
History-Guided Hill Exploration for Evolutionary Computation.
IEEE Trans. Evol. Comput., December, 2023

A particle swarm algorithm based on the dual search strategy for dynamic multi-objective optimization.
Swarm Evol. Comput., December, 2023

An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization.
Swarm Evol. Comput., December, 2023

A reinforcement learning-based multi-objective optimization in an interval and dynamic environment.
Knowl. Based Syst., November, 2023

Global and local feasible solution search for solving constrained multi-objective optimization.
Inf. Sci., November, 2023

A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints.
IEEE Trans. Evol. Comput., October, 2023

Two-Stage Sparse Representation Clustering for Dynamic Data Streams.
IEEE Trans. Cybern., October, 2023

Efficient Sparse Representation for Learning With High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Penalty and prediction methods for dynamic constrained multi-objective optimization.
Swarm Evol. Comput., July, 2023

A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation.
Inf. Sci., July, 2023

Biological survival optimization algorithm with its engineering and neural network applications.
Soft Comput., May, 2023

A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts.
Inf. Sci., May, 2023

Classification in Dynamic Data Streams With a Scarcity of Labels.
IEEE Trans. Knowl. Data Eng., April, 2023

Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance.
IEEE Trans. Cybern., April, 2023

Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell., April, 2023

A weight vector generation method based on normal distribution for preference-based multi-objective optimization.
Swarm Evol. Comput., March, 2023

A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization.
Swarm Evol. Comput., March, 2023

Manifold clustering-based prediction for dynamic multiobjective optimization.
Swarm Evol. Comput., March, 2023

A Fuzzy Decision Variables Framework for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2023

Reduced-Space Multistream Classification Based on Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2023

An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty.
IEEE Trans Autom. Sci. Eng., 2023

A dynamic multi-objective optimization based on a hybrid of pivot points prediction and diversity strategies.
Swarm Evol. Comput., 2023

Meta-heuristic Techniques in Microgrid Management: A Survey.
Swarm Evol. Comput., 2023

A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction.
Swarm Evol. Comput., 2023

An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization.
Inf. Sci., 2023

An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization.
Inf. Sci., 2023

An extended fuzzy decision variables framework for solving large-scale multiobjective optimization problems.
Inf. Sci., 2023

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

Scarcity of Labels in Non-Stationary Data Streams: A Survey.
ACM Comput. Surv., 2023

Low-Carbon Routing Based on Improved Artificial Bee Colony Algorithm for Electric Trackless Rubber-Tyred Vehicles.
Complex Syst. Model. Simul., 2023

Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation.
CoRR, 2023

A dynamic multi-objective evolutionary algorithm based on Niche prediction strategy.
Appl. Soft Comput., 2023

An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Fuzzy Decision Variables Framework Based on Directed Sampling for Large-scale Multiobjective Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Nearest better network for visualization of the fitness landscape.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

A Subspace-Based Non-Dominated Subset Selection Method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Decomposed Multi-objective Method Based on Q-Learning for Solving Multi-objective Combinatorial Optimization Problem.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

2022
Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data.
IEEE Trans. Syst. Man Cybern. Syst., 2022

HNIO: A Hybrid Nature-Inspired Optimization Algorithm for Energy Minimization in UAV-Assisted Mobile Edge Computing.
IEEE Trans. Netw. Serv. Manag., 2022

Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge.
IEEE Trans. Evol. Comput., 2022

A New Crossover Mechanism for Genetic Algorithms for Steiner Tree Optimization.
IEEE Trans. Cybern., 2022

Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification.
IEEE Trans. Cybern., 2022

Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System.
IEEE Trans. Cybern., 2022

An Adaptive Localized Decision Variable Analysis Approach to Large-Scale Multiobjective and Many-Objective Optimization.
IEEE Trans. Cybern., 2022

A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification.
IEEE Trans. Cybern., 2022

Multiview Subspace Clustering Using Low-Rank Representation.
IEEE Trans. Cybern., 2022

Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams.
IEEE Trans. Big Data, 2022

Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey.
IEEE Trans. Artif. Intell., 2022

A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution.
Swarm Evol. Comput., 2022

A novel two-phase evolutionary algorithm for solving constrained multi-objective optimization problems.
Swarm Evol. Comput., 2022

A constrained multi-objective evolutionary strategy based on population state detection.
Swarm Evol. Comput., 2022

A level-based multi-strategy learning swarm optimizer for large-Scale multi-objective optimization.
Swarm Evol. Comput., 2022

A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization.
Swarm Evol. Comput., 2022

PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization.
Swarm Evol. Comput., 2022

A new moving peaks benchmark with attractors for dynamic evolutionary algorithms.
Swarm Evol. Comput., 2022

Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization.
Swarm Evol. Comput., 2022

A reconstruction method for cross-cut shredded documents based on the extreme learning machine algorithm.
Soft Comput., 2022

A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
Medical Biol. Eng. Comput., 2022

Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm.
Inf. Sci., 2022

Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables.
Inf. Sci., 2022

A benchmark generator for online dynamic single-objective and multi-objective optimization problems.
Inf. Sci., 2022

A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization.
Inf. Sci., 2022

Multi-view representation learning for data stream clustering.
Inf. Sci., 2022

A dual evolutionary bagging for class imbalance learning.
Expert Syst. Appl., 2022

Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey.
CoRR, 2022

Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments.
CoRR, 2022

A multiobjective state transition algorithm based on modified decomposition method.
Appl. Soft Comput., 2022

Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities.
Appl. Soft Comput., 2022

Combining State Detection with Knowledge Transfer for Constrained Multi-objective Optimization.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Learning to Search Promising Regions by a Monte-Carlo Tree Model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Handling Constrained Many-Objective Optimization Problems via Problem Transformation.
IEEE Trans. Cybern., 2021

A many-objective algorithm based on staged coordination selection.
Swarm Evol. Comput., 2021

A many-objective evolutionary algorithm based on rotation and decomposition.
Swarm Evol. Comput., 2021

A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization.
Swarm Evol. Comput., 2021

A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization.
Swarm Evol. Comput., 2021

A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization.
Swarm Evol. Comput., 2021

An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization.
Soft Comput., 2021

A novel discrete bat algorithm for heterogeneous redundancy allocation of multi-state systems subject to probabilistic common-cause failure.
Reliab. Eng. Syst. Saf., 2021

Achievement scalarizing function sorting for strength Pareto evolutionary algorithm in many-objective optimization.
Neural Comput. Appl., 2021

A many-objective evolutionary algorithm based on dominance and decomposition with reference point adaptation.
Knowl. Based Syst., 2021

A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems.
Inf. Sci., 2021

Niche-based and angle-based selection strategies for many-objective evolutionary optimization.
Inf. Sci., 2021

A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization.
Inf. Sci., 2021

A two-archive algorithm with decomposition and fitness allocation for multi-modal multi-objective optimization.
Inf. Sci., 2021

Dynamic multi-objective optimization algorithm based decomposition and preference.
Inf. Sci., 2021

A novel oversampling technique based on the manifold distance for class imbalance learning.
Int. J. Bio Inspired Comput., 2021

A feedback-based prediction strategy for dynamic multi-objective evolutionary optimization.
Expert Syst. Appl., 2021

A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica.
CoRR, 2021

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

Generalized Moving Peaks Benchmark.
CoRR, 2021

Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images.
Appl. Soft Comput., 2021

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
IEEE Access, 2021

An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution.
Proceedings of the Image and Graphics - 11th International Conference, 2021

A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Novel Prediction Strategies for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2020

A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 2020

Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties.
IEEE Trans. Control. Syst. Technol., 2020

Solving dynamic multi-objective problems with an evolutionary multi-directional search approach.
Knowl. Based Syst., 2020

A close neighbor mobility method using particle swarm optimizer for solving multimodal optimization problems.
Inf. Sci., 2020

An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection.
Inf. Sci., 2020

AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation.
Inf. Sci., 2020

A dynamic multi-objective evolutionary algorithm based on intensity of environmental change.
Inf. Sci., 2020

MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures.
CoRR, 2020

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm.
Cogn. Comput., 2020

Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier].
IEEE Comput. Intell. Mag., 2020

Ra-dominance: A new dominance relationship for preference-based evolutionary multiobjective optimization.
Appl. Soft Comput., 2020

Analysis and multi-objective optimization of slag powder process.
Appl. Soft Comput., 2020

A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Particle Swarm Optimisation for Scheduling Electric Vehicles with Microgrids.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

An Experimental Study of Prediction Methods in Robust optimization Over Time.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Reinforced Evolutionary Algorithms for Game Difficulty Control.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019
Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints.
IEEE Trans. Cybern., 2019

An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms.
IEEE Trans. Cybern., 2019

A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation.
IEEE Trans. Cybern., 2019

Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams.
IEEE Trans. Cybern., 2019

A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model.
Swarm Evol. Comput., 2019

A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization.
Swarm Evol. Comput., 2019

An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals.
Swarm Evol. Comput., 2019

Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons.
Swarm Evol. Comput., 2019

Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization.
Soft Comput., 2019

A predictive strategy based on special points for evolutionary dynamic multi-objective optimization.
Soft Comput., 2019

Accelerating differential evolution based on a subset-to-subset survivor selection operator.
Soft Comput., 2019

An adaptation reference-point-based multiobjective evolutionary algorithm.
Inf. Sci., 2019

A framework for inducing artificial changes in optimization problems.
Inf. Sci., 2019

Hybrid of memory and prediction strategies for dynamic multiobjective optimization.
Inf. Sci., 2019

A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation.
Inf. Sci., 2019

Novel implementation of defence strategy of relay attack based on cloud in RFID systems.
Int. J. Inf. Comput. Secur., 2019

AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation.
CoRR, 2019

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation.
CoRR, 2019

A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty.
Appl. Soft Comput., 2019

A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization.
Appl. Soft Comput., 2019

Dynamic Feature Selection for Clustering High Dimensional Data Streams.
IEEE Access, 2019

A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning.
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

A Two-layer Optimization Management Method for the Microgrid with Electric Vehicles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Memory-based multi-population genetic learning for dynamic shortest path problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout.
IEEE Trans. Ind. Informatics, 2018

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

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

Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2018

Multiobjective optimization of the production process for ground granulated blast furnace slags.
Soft Comput., 2018

Adaptive neighborhood selection for many-objective optimization problems.
Appl. Soft Comput., 2018

A many-objective evolutionary algorithm based on rotated grid.
Appl. Soft Comput., 2018

Hybrid meta-heuristic algorithms for independent job scheduling in grid computing.
Appl. Soft Comput., 2018

An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Less detectable environmental changes in dynamic multiobjective optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A Loosely Coupled Hybrid Meta-Heuristic Algorithm for the Static Independent Task Scheduling Problem in Grid Computing.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Empirical Study of Dynamic Triobjective Optimisation Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling.
IEEE Trans. Intell. Transp. Syst., 2017

A Two-Phase Differential Evolution for Uniform Designs in Constrained Experimental Domains.
IEEE Trans. Evol. Comput., 2017

A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2017

A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2017

A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems.
IEEE Trans. Evol. Comput., 2017

Ant Colony Optimization With Local Search for Dynamic Traveling Salesman Problems.
IEEE Trans. Cybern., 2017

Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons.
IEEE Trans. Cybern., 2017

A survey of swarm intelligence for dynamic optimization: Algorithms and applications.
Swarm Evol. Comput., 2017

Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes.
Soft Comput., 2017

An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms.
CoRR, 2017

A green intelligent routing algorithm supporting flexible QoS for many-to-many multicast.
Comput. Networks, 2017

A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization.
Appl. Soft Comput., 2017

The effect of diversity maintenance on prediction in dynamic multi-objective optimization.
Appl. Soft Comput., 2017

Pheromone modification strategy for the dynamic travelling salesman problem with weight changes.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A proportion-based selection scheme for multi-objective optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules.
Proceedings of the Recent Advances in Soft Computing, 2017

Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Pre-scheduled Colony Size Variation in Dynamic Environments.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2016

An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima.
IEEE Trans. Evol. Comput., 2016

An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts.
IEEE Trans. Cybern., 2016

Ant colony optimization with immigrants schemes for the dynamic railway junction rescheduling problem with multiple delays.
Soft Comput., 2016

Improving the JADE algorithm by clustering successful parameters.
Int. J. Wirel. Mob. Comput., 2016

A clique-based online algorithm for constructing optical orthogonal codes.
Appl. Soft Comput., 2016

Dynamic Stream Clustering Using Ants.
Proceedings of the Advances in Computational Intelligence Systems, 2016

On the use of hypervolume for diversity measurement of Pareto front approximations.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Railway platform reallocation after dynamic perturbations using ant colony optimisation.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Evolutionary dynamic optimisation of airport security lane schedules.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Convergence Versus Diversity in Multiobjective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Empirical study on the effect of population size on MAX-MIN ant system in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Differential evolution with a two-stage optimization mechanism for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A comparative study of constraint-handling techniques in evolutionary constrained multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

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

Training neural networks with ant colony optimization algorithms for pattern classification.
Soft Comput., 2015

Ant algorithms with immigrants schemes for the dynamic vehicle routing problem.
Inf. Sci., 2015

Multi-population methods in unconstrained continuous dynamic environments: The challenges.
Inf. Sci., 2015

Bi-goal evolution for many-objective optimization problems.
Artif. Intell., 2015

Towards Knowledge Driven Decision Support for Personalized Home-Based Self-Management of Chronic Diseases.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Population-Based Incremental Learning with Immigrants Schemes in Changing Environments.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Evolutionary Computation for Dynamic Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Applying Ant Colony Optimization to Dynamic Binary-Encoded Problems.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

An adaptive local search algorithm for real-valued dynamic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2014

Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems.
IEEE Trans. Cybern., 2014

Diversity Comparison of Pareto Front Approximations in Many-Objective Optimization.
IEEE Trans. Cybern., 2014

Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control.
IEEE Trans Autom. Sci. Eng., 2014

Analysis of fitness landscape modifications in evolutionary dynamic optimization.
Inf. Sci., 2014

ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization.
Evol. Comput., 2014

An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems.
Evol. Comput., 2014

A benchmark generator for dynamic multi-objective optimization problems.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Dynamic railway junction rescheduling using population based ant colony optimisation.
Proceedings of the 14th UK Workshop on Computational Intelligence, 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

Ant colony optimization with self-adaptive evaporation rate in dynamic environments.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

A framework of scalable dynamic test problems for dynamic multi-objective optimization.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A test problem for visual investigation of high-dimensional multi-objective search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Dynamic Vehicle Routing: A Memetic Ant Colony Optimization Approach.
Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013

Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review.
Proceedings of the Handbook of Optimization - From Classical to Modern Approach, 2013

A Grid-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2013

Fourth party logistics routing problem model with fuzzy duration time and cost discount.
Knowl. Based Syst., 2013

Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks.
Expert Syst. Appl., 2013

Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors.
Appl. Soft Comput., 2013

A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing.
Appl. Soft Comput., 2013

Evolving neural networks using ant colony optimization with pheromone trail limits.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A Comparative Study on Evolutionary Algorithms for Many-Objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

Genetic algorithms with adaptive immigrants for dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2012

A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments.
IEEE Trans. Evol. Comput., 2012

Evolutionary dynamic optimization: A survey of the state of the art.
Swarm Evol. Comput., 2012

A memetic particle swarm optimization algorithm for multimodal optimization problems.
Inf. Sci., 2012

Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima.
Inf. Sci., 2012

A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems.
Int. J. Syst. Sci., 2012

Immigrants-Enhanced Multi-Population Genetic Algorithms for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
Appl. Artif. Intell., 2012

Hyper-mutation Based Genetic Algorithms for Dynamic Multicast Routing Problem in Mobile Ad Hoc Networks.
Proceedings of the 11th IEEE International Conference on Trust, 2012

A Hybrid Approach to Piecewise Modelling of Biochemical Systems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

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

Ant Colony Optimization with Immigrants Schemes for the Dynamic Vehicle Routing Problem.
Proceedings of the Applications of Evolutionary Computation, 2012

Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Maintaining diversity by clustering in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling.
IEEE Trans. Syst. Man Cybern. Part C, 2011

Use of the<i> q</i>-Gaussian mutation in evolutionary algorithms.
Soft Comput., 2011

Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments.
Soft Comput., 2011

A memetic ant colony optimization algorithm for the dynamic travelling salesman problem.
Soft Comput., 2011

A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling.
J. Sched., 2011

Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems.
Int. J. Hybrid Intell. Syst., 2011

Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods.
Appl. Soft Comput., 2011

A hybrid evolutionary multiobjective approach for the dynamic component selection problem.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

Memory-Based Immigrants for Ant Colony Optimization in Changing Environments.
Proceedings of the Applications of Evolutionary Computation, 2011

A Guided Search Non-dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

Genetic algorithms with elitism-based immigrants for dynamic load balanced clustering problem in mobile ad hoc networks.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2011

An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem.
Proceedings of the Artificial Evolution, 2011

2010
Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
IEEE Trans. Syst. Man Cybern. Part C, 2010

Particle Swarm Optimization With Composite Particles in Dynamic Environments.
IEEE Trans. Syst. Man Cybern. Part B, 2010

A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments.
IEEE Trans. Evol. Comput., 2010

An improved constraint satisfaction adaptive neural network for job-shop scheduling.
J. Sched., 2010

A particle swarm optimization based memetic algorithm for dynamic optimization problems.
Nat. Comput., 2010

Guest editorial: Memetic Computing in the presence of uncertainties.
Memetic Comput., 2010

QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms.
J. Netw. Comput. Appl., 2010

Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks.
Eng. Appl. Artif. Intell., 2010

Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System.
Proceedings of the Parallel Problem Solving from Nature, 2010

Ant Colony Optimization with Immigrants Schemes in Dynamic Environments.
Proceedings of the Parallel Problem Solving from Nature, 2010

A Directed Mutation Operator for Real Coded Genetic Algorithms.
Proceedings of the Applications of Evolutionary Computation, 2010

Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
Proceedings of the Applications of Evolutionary Computation, 2010

Adaptive learning particle swarm optimizer-II for global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A hybrid genetic algorithm and inver over approach for the travelling salesman problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility.
Wirel. Commun. Mob. Comput., 2009

Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems.
Soft Comput., 2009

Learning behavior in abstract memory schemes for dynamic optimization problems.
Soft Comput., 2009

A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks.
Appl. Soft Comput., 2009

Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Tabu Search.
Proceedings of the Fifth International Conference on Natural Computation, 2009

An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems.
Proceedings of the Applications of Evolutionary Computing, 2009

Hyper-learning for population-based incremental learning in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A clustering particle swarm optimizer for dynamic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

An adaptive learning particle swarm optimizer for function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

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

Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments.
Evol. Comput., 2008

A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

An Island Based Hybrid Evolutionary Algorithm for Optimization.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Particle Filter with Swarm Move for Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2008

A Review of Personal Communications Services.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

A Memetic Algorithm for the University Course Timetabling Problem.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Learning in Abstract Memory Schemes for Dynamic Optimization.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Fast Multi-Swarm Optimization for Dynamic Optimization Problems.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Memory Based on Abstraction for Dynamic Fitness Functions.
Proceedings of the Applications of Evolutionary Computing, 2008

Compound Particle Swarm Optimization in Dynamic Environments.
Proceedings of the Applications of Evolutionary Computing, 2008

Hyper-selection in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A multi-agent based evolutionary algorithm in non-stationary environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Evolutionary programming with q-Gaussian mutation for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

A hybrid immigrants scheme for genetic algorithms in dynamic environments.
Int. J. Autom. Comput., 2007

A self-organizing random immigrants genetic algorithm for dynamic optimization problems.
Genet. Program. Evolvable Mach., 2007

Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems.
Proceedings of the Applications of Evolutinary Computing, 2007

Triggered Memory-Based Swarm Optimization in Dynamic Environments.
Proceedings of the Applications of Evolutinary Computing, 2007

Continuous dynamic problem generators for evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Self-adaptation of mutation distribution in evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Editorial to special issue on evolutionary computation in dynamic and uncertain environments.
Genet. Program. Evolvable Mach., 2006

Adaptive mutation with fitness and allele distribution correlation for genetic algorithms.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach.
Proceedings of the International Joint Conference on Neural Networks, 2006

A comparative study of immune system based genetic algorithms in dynamic environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Dominance learning in diploid genetic algorithms for dynamic optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Associative Memory Scheme for Genetic Algorithms in Dynamic Environments.
Proceedings of the Applications of Evolutionary Computing, 2006

On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

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

An Improved Adaptive Neural Network for Job-Shop Scheduling.
Proceedings of the IEEE International Conference on Systems, 2005

Evolutionary algorithms for dynamic optimization problems: workshop preface.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Memory-based immigrants for genetic algorithms in dynamic environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Population-based incremental learning with memory scheme for changing environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Genetic algorithms with self-organized criticality for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Constructing dynamic test environments for genetic algorithms based on problem difficulty.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Adaptive Mutation Using Statistics Mechanism for Genetic Algorithms.
Proceedings of the Research and Development in Intelligent Systems XX, 2003

PDGA: the Primal-Dual Genetic Algorithm.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Statistics-Based Adaptive Non-uniform Mutation for Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2003

Non-stationary problem optimization using the primal-dual genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling.
Comput. Oper. Res., 2001

2000
Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling.
IEEE Trans. Neural Networks Learn. Syst., 2000


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