Kay Chen Tan

According to our database1, Kay Chen Tan authored at least 297 papers between 1999 and 2020.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2014, "For contributions to evolutionary multiobjective optimization".

Timeline

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Online presence:

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Bibliography

2020
A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2020

Bipartite Differential Neural Network for Unsupervised Image Change Detection.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization.
IEEE Trans. Cybern., 2020

Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions.
IEEE Trans. Cybern., 2020

Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors.
Memetic Comput., 2020

Fast hypervolume approximation scheme based on a segmentation strategy.
Inf. Sci., 2020

An adaptive clustering-based evolutionary algorithm for many-objective optimization problems.
Inf. Sci., 2020

BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction.
CoRR, 2020

Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks.
CoRR, 2020

Synaptic Learning with Augmented Spikes.
CoRR, 2020

Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes.
CoRR, 2020

Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning.
CoRR, 2020

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study.
CoRR, 2020

Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports].
IEEE Comput. Intell. Mag., 2020

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2020

Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-label Feature Selection via Global Relevance and Redundancy Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Improving Deep Learning based Optical Character Recognition via Neural Architecture Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
QoS-Aware Web Service Selection with Internal Complementarity.
IEEE Trans. Serv. Comput., 2019

A Cost-Sensitive Deep Belief Network for Imbalanced Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

An Evolutionary Constraint-Handling Technique for Parametric Optimization of a Cancer Immunotherapy Model.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Multiobjective Sparse Non-Negative Matrix Factorization.
IEEE Trans. Cybern., 2019

Evolutionary Multitasking via Explicit Autoencoding.
IEEE Trans. Cybern., 2019

Evolutionary Many-Objective Algorithm Using Decomposition-Based Dominance Relationship.
IEEE Trans. Cybern., 2019

Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity.
IEEE Trans. Cybern., 2019

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition.
CoRR, 2019

Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning.
CoRR, 2019

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs).
CoRR, 2019

A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks.
CoRR, 2019

Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning.
CoRR, 2019

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2019

Deep infrared pedestrian classification based on automatic image matting.
Appl. Soft Comput., 2019

Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution.
IEEE Access, 2019

Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Online Bagging for Anytime Transfer Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework.
Unmanned Syst., 2018

Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

A Generic Deep-Learning-Based Approach for Automated Surface Inspection.
IEEE Trans. Cybern., 2018

A New Differential Evolution Algorithm for Minimax Optimization in Robust Design.
IEEE Trans. Cybern., 2018

Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory".
IEEE Trans. Cogn. Dev. Syst., 2018

Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory.
IEEE Trans. Cogn. Dev. Syst., 2018

Adjust weight vectors in MOEA/D for bi-objective optimization problems with discontinuous Pareto fronts.
Soft Comput., 2018

A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring.
CoRR, 2018

Special Issue of BICS 2016.
Cogn. Comput., 2018

Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier].
IEEE Comput. Intell. Mag., 2018

Solving dynamic multi-objective optimization problems via support vector machine.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Adaptive charting genetic programming for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach
Intelligent Systems Reference Library 126, Springer, ISBN: 978-3-319-55310-8, 2017

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics.
IEEE Trans. Neural Networks Learn. Syst., 2017

Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble.
IEEE Trans. Neural Networks Learn. Syst., 2017

Automatic Microstructure Defect Detection of Ti-6Al-4V Titanium Alloy by Regions-Based Graph.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Multiple Exponential Recombination for Differential Evolution.
IEEE Trans. Cybern., 2017

Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules.
IEEE Trans. Cybern., 2017

Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning.
IEEE Trans. Cybern., 2017

Multiobjective Multifactorial Optimization in Evolutionary Multitasking.
IEEE Trans. Cybern., 2017

Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach.
IEEE Trans. Cybern., 2017

A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2017

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR, 2017

An Intelligent Packing Programming for Space Station Extravehicular Missions.
IEEE Comput. Intell. Mag., 2017

Conference Report on 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016) [Conference Reports].
IEEE Comput. Intell. Mag., 2017

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2017

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2017

A combined differential evolution and NSGA-II approach for parametric optimization of a cancer immunotherapy model.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Decomposition based dominance relationship for evolutionary many-objective algorithm.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

On the analysis and evaluation of prosody conversion techniques.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring.
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

Two-stage assortative mating for multi-objective multifactorial evolutionary optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Sparse representation of phonetic features for voice conversion with and without parallel data.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Transformation of prosody in voice conversion.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016
A Spiking Neural Network System for Robust Sequence Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2016

Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2016

Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction.
IEEE Trans. Cybern., 2016

Decompositional independent component analysis using multi-objective optimization.
Soft Comput., 2016

Decomposition-based multi-objective evolutionary algorithm for vehicle routing problem with stochastic demands.
Soft Comput., 2016

How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier.
IEEE Comput. Intell. Mag., 2016

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2016

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2016

Computational Intelligence for Brain Computer Interface [Guest Editorial].
IEEE Comput. Intell. Mag., 2016

Training cost-sensitive Deep Belief Networks on imbalance data problems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Deep inverse regression with modified document probability for text classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A time window neural network based framework for Remaining Useful Life estimation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multiway analysis of EEG artifacts based on Block Term Decomposition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Spiking Neural Network Model for Sound Recognition.
Proceedings of the Cognitive Systems and Signal Processing, 2016

Enhancing exploration in differential evolution via exponential recombination.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Maximising total weighted number of activities for reservation with slack.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A novel grid-based differential evolution (DE) algorithm for many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Vector directed path generation and tracking for autonomous unmanned aerial/ ground vehicles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Optimization of workload level estimation using selection of EEG channel connectivity.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Online Diversity Assessment in Evolutionary Multiobjective Optimization: A Geometrical Perspective.
IEEE Trans. Evol. Comput., 2015

Adaptive Memetic Computing for Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2015

Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling.
IEEE Trans. Cybern., 2015

A hybrid evolutionary multiobjective optimization algorithm with adaptive multi-fitness assignment.
Soft Comput., 2015

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2015

Evolutionary multi-objective optimization in engineering and prognostic applications.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Deep Belief Networks Ensemble with Multi-objective Optimization for Failure Diagnosis.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 19th Asia Pacific Symposium, 2015

A New Framework for Self-adapting Control Parameters in Multi-objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Evolutionary Big Optimization (BigOpt) of Signals.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming.
IEEE Trans. Evol. Comput., 2014

Learning believable game agents using sensor noise and action histogram.
Memetic Comput., 2014

A brain-inspired spiking neural network model with temporal encoding and learning.
Neurocomputing, 2014

Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments.
Evol. Comput., 2014

A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A new learning rule for classification of spatiotemporal spike patterns.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

A novel Differential Evolution (DE) algorithm for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Diversity preservation with hybrid recombination for evolutionary multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach.
Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013

Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2013

An Energy-Based Sampling Technique for Multi-Objective Restricted Boltzmann Machine.
IEEE Trans. Evol. Comput., 2013

A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem.
IEEE Trans. Evol. Comput., 2013

Multimodal Optimization Using a Biobjective Differential Evolution Algorithm Enhanced With Mean Distance-Based Selection.
IEEE Trans. Evol. Comput., 2013

A Spike-Timing-Based Integrated Model for Pattern Recognition.
Neural Comput., 2013

Enhancing the scalability of multi-objective optimization via restricted Boltzmann machine-based estimation of distribution algorithm.
Inf. Sci., 2013

Multi-Objective Optimization with Estimation of Distribution Algorithm in a Noisy Environment.
Evol. Comput., 2013

Hybrid evolutionary computation methods for quay crane scheduling problems.
Comput. Oper. Res., 2013

Auld Lang Syne [Editor's Remarks].
IEEE Comput. Intell. Mag., 2013

It's Just "Emotions" Has Taken Over? [Editor's Remarks].
IEEE Comput. Intell. Mag., 2013

The "vision" of tomorrow! [Editor's Remarks].
IEEE Comput. Intell. Mag., 2013

Dynamic index tracking via multi-objective evolutionary algorithm.
Appl. Soft Comput., 2013

A hierarchical organized memory model using spiking neurons.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

A neuro-cognitive system and its application in robotics.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.
Proceedings of the Genetic Programming - 16th European Conference, 2013

Spiking-timing based pattern recognition with real-world visual stimuli.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013

2012
A Hybrid Estimation of Distribution Algorithm with Decomposition for Solving the Multiobjective Multiple Traveling Salesman Problem.
IEEE Trans. Syst. Man Cybern. Part C, 2012

A data mining approach to evolutionary optimisation of noisy multi-objective problems.
Int. J. Syst. Sci., 2012

Propelling Bioinformatics a Notch Higher [Editor's Remarks].
IEEE Comput. Intell. Mag., 2012

Type-2 Fuzzy Logic - Plodding on Steadily and Staying Relevant [Editor's Remarks].
IEEE Comput. Intell. Mag., 2012

Empowering Semantic Web with Computational Intelligence [Editor's Remarks].
IEEE Comput. Intell. Mag., 2012

CI at Work! [Editor's Remarks].
IEEE Comput. Intell. Mag., 2012

Probabilistic Graphical Approaches for Learning, Modeling, and Sampling in Evolutionary Multi-objective Optimization.
Proceedings of the Advances in Computational Intelligence, 2012

Advances in Evolutionary Multi-objective Optimization.
Proceedings of the Soft Computing Applications, 2012

Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Pattern recognition computation in a spiking neural network with temporal encoding and learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Learning real-world stimuli by single-spike coding and tempotron rule.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 15th European Conference, 2012

A hybrid adaptive evolutionary algorithm in the domination-based and decomposition-based frameworks of multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A hybrid estimation of distribution algorithm for solving the multi-objective multiple traveling salesman problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Guest Editorial.
IEEE Trans. Evol. Comput., 2011

A Multi-Facet Survey on Memetic Computation.
IEEE Trans. Evol. Comput., 2011

Dynamic Game Difficulty Scaling Using Adaptive Behavior-Based AI.
IEEE Trans. Comput. Intell. AI Games, 2011

Memetic informed evolutionary optimization via data mining.
Memetic Comput., 2011

'Tis the Season to be Healthy!
IEEE Comput. Intell. Mag., 2011

Nothing's Too Small to Have an Impact [Editor's Remarks].
IEEE Comput. Intell. Mag., 2011

Goodbye James Bond, Hello Games Bond! [Editor's Remarks].
IEEE Comput. Intell. Mag., 2011

Welcoming the Year of the Rabbit! [Editor's Remarks].
IEEE Comput. Intell. Mag., 2011

2010
Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization.
Memetic Comput., 2010

A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment.
Memetic Comput., 2010

Computationally efficient behaviour based controller for real time car racing simulation.
Expert Syst. Appl., 2010

An investigation on noise-induced features in robust evolutionary multi-objective optimization.
Expert Syst. Appl., 2010

Exploiting molecular dynamics for multi-objective optimization.
Expert Syst. Appl., 2010

An evolutionary memetic algorithm for rule extraction.
Expert Syst. Appl., 2010

A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design.
Eur. J. Oper. Res., 2010

A Gathering of Intelligent Agents [Editor's Remarks].
IEEE Comput. Intell. Mag., 2010

The Nuts and "Bots" of Our Future [Editor's Remarks].
IEEE Comput. Intell. Mag., 2010

Correction.
IEEE Comput. Intell. Mag., 2010

Not Just a "Meme" to an End [Editor's Remarks].
IEEE Comput. Intell. Mag., 2010

New year, New Challenges [Editor's Remarks].
IEEE Comput. Intell. Mag., 2010

Preface for the special volume on Computational Intelligence in Scheduling.
Ann. Oper. Res., 2010

Multi-objective and prioritized berth allocation in container ports.
Ann. Oper. Res., 2010

Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

CPSCom 2010 Keynote Speech: Kay Chen Tan.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

Restricted Boltzmann machine based algorithm for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

An investigation on sampling technique for multi-objective restricted Boltzmann machine.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand.
Proceedings of the Bio-inspired Algorithms for the Vehicle Routing Problem, 2009

Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms
Studies in Computational Intelligence 186, Springer, ISBN: 978-3-540-95975-5, 2009

Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks.
IEEE Trans. Neural Networks, 2009

Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks.
IEEE Trans. Neural Networks, 2009

Evolution and Incremental Learning in the Iterated Prisoner's Dilemma.
IEEE Trans. Evol. Comput., 2009

Evolutionary Game Theoretic Approach for Modeling Civil Violence.
IEEE Trans. Evol. Comput., 2009

A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2009

Public Goods Provision: An Evolutionary Game Theoretic Study Under Asymmetric Information.
IEEE Trans. Comput. Intell. AI Games, 2009

A hybrid evolutionary approach for heterogeneous multiprocessor scheduling.
Soft Comput., 2009

A multi-objective evolutionary algorithm for examination timetabling.
J. Sched., 2009

Evolving Nash-optimal poker strategies using evolutionary computation.
Frontiers Comput. Sci. China, 2009

A hybrid evolutionary algorithm for attribute selection in data mining.
Expert Syst. Appl., 2009

A memetic model of evolutionary PSO for computational finance applications.
Expert Syst. Appl., 2009

Investigating technical trading strategy via an multi-objective evolutionary platform.
Expert Syst. Appl., 2009

Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization.
Eur. J. Oper. Res., 2009

Adaptive game AI for Gomoku.
Proceedings of the 4th International Conference on Autonomous Robots and Agents, 2009

Solving the berth allocation problem with service priority via multi-objective optimization.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Scheduling, 2009

2008
A Multi-Objective Multi-Colony Ant Algorithm for Solving the Berth Allocation Problem.
Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008

Improving Locality in Binary Representation via Redundancy.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks.
IEEE Trans. Neural Networks, 2008

An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem.
Neurocomputing, 2008

Training neural networks for classification using growth probability-based evolution.
Neurocomputing, 2008

Interference-less neural network training.
Neurocomputing, 2008

Evolutionary multi-objective portfolio optimization in practical context.
Int. J. Autom. Comput., 2008

An evolutionary artificial immune system for multi-objective optimization.
Eur. J. Oper. Res., 2008

On solving multiobjective bin packing problems using evolutionary particle swarm optimization.
Eur. J. Oper. Res., 2008

Handling Uncertainties in Evolutionary Multi-Objective Optimization.
Proceedings of the Computational Intelligence: Research Frontiers, 2008

A memetic evolutionary search algorithm with variable length chromosome for rule extraction.
Proceedings of the IEEE International Conference on Systems, 2008

Online adaptive controller for simulated car racing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An investigation on evolutionary gradient search for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Dimension reduction using evolutionary Support Vector Machines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

A Multi-Objective Evolutionary Algorithm for Channel Routing Problems.
Proceedings of the Evolutionary Scheduling, 2007

Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm.
Proceedings of the Advances in Evolutionary Computing for System Design, 2007

A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2007

An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2007

Evolutionary design and implementation of a hard disk drive servo control system.
Soft Comput., 2007

Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation.
Eur. J. Oper. Res., 2007

Evolutionary and meta-heuristic scheduling.
Eur. J. Oper. Res., 2007

Solving the Exam Timetabling Problem via a Multi-Objective Evolutionary Algorithm - A More General Approach.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

Discovering Chinese Chess Strategies through Coevolutionary Approaches.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

Reliability evaluation of power-generating systems including time-dependent sources based on binary particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A cooperative coevolutionary algorithm for multiobjective particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A distributed co-evolutionary particle swarm optimization algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Efficient particle swarm optimization: a termination condition based on the decision-making approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Noise-induced features in robust multi-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A multi-objective evolutionary algorithm for berth allocation in a container port.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006
Evolutionary Robotics: From Algorithms to Implementations
World Scientific Series in Robotics and Intelligent Systems 28, World Scientific, ISBN: 978-981-4477-52-9, 2006

Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition.
IEEE Trans. Neural Networks, 2006

Dynamics analysis and analog associative memory of networks with LT neurons.
IEEE Trans. Neural Networks, 2006

An automated methodology for the tracking of electrical performance for memory test systems.
IEEE Trans. Instrum. Meas., 2006

A distributed Cooperative coevolutionary algorithm for multiobjective optimization.
IEEE Trans. Evol. Comput., 2006

A coevolutionary algorithm for rules discovery in data mining.
Int. J. Syst. Sci., 2006

Evolving better population distribution and exploration in evolutionary multi-objective optimization.
Eur. J. Oper. Res., 2006

A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems.
Eur. J. Oper. Res., 2006

A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining.
Comput. Optim. Appl., 2006

A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows.
Comput. Optim. Appl., 2006

A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems.
Proceedings of the International Joint Conference on Neural Networks, 2006

Improving the Efficacy of Multi-objective Evolutionary Algorithms for Real-World Applications (Abstract of Invited Talk).
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2006

Multiobjective Evolutionary Neural Networks for Time Series Forecasting.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2006

Molecular Dynamics Optimizer.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2006

Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2006

On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

An Empirical Study on the Settings of Control Coefficients in Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Noise Handling in Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Stochastic Demand.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Multiobjective Evolutionary Algorithms and Applications.
Advanced Information and Knowledge Processing, Springer, ISBN: 978-1-84628-132-7, 2005

A distributed evolutionary classifier for knowledge discovery in data mining.
IEEE Trans. Syst. Man Cybern. Part C, 2005

Digital processing of dual-frequency servo burst in hard disk drives.
IEEE Trans. Instrum. Meas., 2005

Task-oriented developmental learning for humanoid robots.
IEEE Trans. Ind. Electron., 2005

Qualitative analysis for recurrent neural networks with linear threshold transfer functions.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

On parameter settings of Hopfield networks applied to traveling salesman problems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

A flexible automatic test system for rotating-turbine machinery.
IEEE Trans Autom. Sci. Eng., 2005

Using the OPC Standard for Real-Time Process Monitoring and Control.
IEEE Softw., 2005

Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons.
Neural Comput., 2005

Modeling and control of a pilot pH plant using genetic algorithm.
Eng. Appl. Artif. Intell., 2005

A P2P genetic algorithm environment for the internet.
Commun. ACM, 2005

A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization.
Artif. Intell. Rev., 2005

Intelligent Sensor Fusion And Learning For Autonomous Robot Navigation.
Appl. Artif. Intell., 2005

Adapting evolutionary dynamics of variation for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Evolution and incremental learning in the iterative prisoner's dilemma.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
A columnar competitive model for solving combinatorial optimization problems.
IEEE Trans. Neural Networks, 2004

New dynamical optimal learning for linear multilayer FNN.
IEEE Trans. Neural Networks, 2004

Fault-tolerant vibration control in a networked and embedded rocket fairing system.
IEEE Trans. Ind. Electron., 2004

Global exponential stability of discrete-time neural networks for constrained quadratic optimization.
Neurocomputing, 2004

CAutoCSD-evolutionary search and optimisation enabled computer automated control system design.
Int. J. Autom. Comput., 2004

Book Review: The Design of Innovation: Lessons from and for Competent Genetic Algorithms.
Genet. Program. Evolvable Mach., 2004

Evolvable Hardware in Evolutionary Robotics.
Auton. Robots, 2004

Fpga-Based Autonomous Robot Navigation Via Intrinsic Evolution.
Appl. Artif. Intell., 2004

A cooperative coevolutionary algorithm for multiobjective optimization.
Proceedings of the IEEE International Conference on Systems, 2004

Dynamical optimal learning for FNN and its applications.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Design and implementation of a distributed evolutionary computing software.
IEEE Trans. Syst. Man Cybern. Part C, 2003

Vehicle capacity planning system: a case study on vehicle routing problem with time windows.
IEEE Trans. Syst. Man Cybern. Part A, 2003

The Intelligent Alarm Management System.
IEEE Softw., 2003

An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization.
J. Artif. Intell. Res., 2003

Evolutionary computing for knowledge discovery in medical diagnosis.
Artif. Intell. Medicine, 2003

A Tabu-Based Exploratory Evolutionary Algorithm for Multiobjective Optimization.
Artif. Intell. Rev., 2003

A multiobjective evolutionary algorithm for solving vehicle routing problem with time windows.
Proceedings of the IEEE International Conference on Systems, 2003

A cooperative coevolutionary algorithm for multiobjective optimization.
Proceedings of the IEEE International Conference on Systems, 2003

Development of a distributed evolutionary computing package.
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8, 2003

2002
Learning the Search Range for Evolutionary Optimization in Dynamic Environments.
Knowl. Inf. Syst., 2002

Design and real-time implementation of a multivariable gyro-mirror line-of-sight stabilization platform.
Fuzzy Sets Syst., 2002

Automating the drug scheduling of cancer chemotherapy via evolutionary computation.
Artif. Intell. Medicine, 2002

Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons.
Artif. Intell. Rev., 2002

Distributed Evolutionary Strategies for Searching oligo Sets of yeast genome.
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

2001
A multiobjective evolutionary algorithm toolbox for computer-aided multiobjective optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2001

Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization.
IEEE Trans. Evol. Comput., 2001

Development of a web-based laboratory for control experiments on a coupled tank apparatus.
IEEE Trans. Educ., 2001

Heuristic methods for vehicle routing problem with time windows.
Artif. Intell. Eng., 2001

Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001

Tabu-Based Exploratory Evolutionary Algorithm for Effective Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001

2000
Evolutionary tuning of a fuzzy dispatching system for automated guided vehicles.
IEEE Trans. Syst. Man Cybern. Part B, 2000

Automatic Design of Multivariable QFT Control System via Evolutionary Computation.
Proceedings of the Real-World Applications of Evolutionary Computing, 2000

Heuristics for Vehicle Routing Problem with Time Windows.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2000

1999
Vehicle Dispatching System Based on Taguchi-tuned Fuzzy Rules.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999


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