Kay Chen Tan
Orcid: 0000-0002-6802-2463Affiliations:
- Hong Kong Polytechnic University, Hong Kong
- City University of Hong Kong, Hong Kong (former)
- National University of Singapore, Singapore (former)
- University of Glasgow, UK (PhD 1997)
According to our database1,
Kay Chen Tan
authored at least 465 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on publons.com
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on orcid.org
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on cityu.edu.hk
On csauthors.net:
Bibliography
2024
A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.
IEEE Trans. Evol. Comput., April, 2024
Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking.
IEEE Trans. Evol. Comput., April, 2024
IEEE Trans. Cybern., March, 2024
Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration.
IEEE Trans. Evol. Comput., February, 2024
IEEE Trans. Evol. Comput., February, 2024
IEEE Trans. Cybern., January, 2024
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., December, 2023
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization.
IEEE Trans. Evol. Comput., December, 2023
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
IEEE Trans. Cybern., November, 2023
Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model.
IEEE Trans. Cybern., November, 2023
IEEE Trans. Cybern., November, 2023
Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling.
IEEE Trans. Evol. Comput., October, 2023
IEEE Trans. Evol. Comput., October, 2023
IEEE Trans. Cybern., October, 2023
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems.
IEEE Trans. Cybern., September, 2023
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Communication Efficient Federated Learning With Heterogeneous Structured Client Models.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Dual Differential Grouping: A More General Decomposition Method for Large-Scale Optimization.
IEEE Trans. Cybern., June, 2023
Memetic Comput., June, 2023
IEEE Trans. Evol. Comput., April, 2023
IEEE Trans. Evol. Comput., April, 2023
A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems.
IEEE Trans. Cybern., April, 2023
IEEE Trans. Cybern., April, 2023
Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans.
IEEE Trans. Biomed. Eng., April, 2023
IEEE Trans. Neural Networks Learn. Syst., February, 2023
IEEE Trans. Evol. Comput., February, 2023
Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., February, 2023
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems.
IEEE Trans. Artif. Intell., February, 2023
IEEE Trans. Syst. Man Cybern. Syst., 2023
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2023
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2023
IEEE Trans. Evol. Comput., 2023
IEEE Trans. Evol. Comput., 2023
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection.
IEEE Trans. Evol. Comput., 2023
IEEE Trans. Cybern., 2023
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding.
CoRR, 2023
CoRR, 2023
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation.
CoRR, 2023
SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer.
IROS, 2023
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023
BiRP: Learning Robot Generalized Bimanual Coordination Using Relative Parameterization Method on Human Demonstration.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Comprehensive Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics.
IEEE Trans. Intell. Transp. Syst., 2022
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022
Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization.
IEEE Trans. Evol. Comput., 2022
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front.
IEEE Trans. Cybern., 2022
Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 2022
Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning.
IEEE Trans. Cybern., 2022
Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems.
IEEE Trans. Cybern., 2022
Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2022
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
A Variable Importance-Based Differential Evolution for Large-Scale Multiobjective Optimization.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Cogn. Dev. Syst., 2022
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Solving large-scale multiobjective optimization via the probabilistic prediction model.
Memetic Comput., 2022
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms.
Knowl. Based Syst., 2022
Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica, 2022
ACM Comput. Surv., 2022
CoRR, 2022
Comparing the Performance of Evolutionary Algorithms for Sparse Multi-Objective Optimization via a Comprehensive Indicator [Research Frontier].
IEEE Comput. Intell. Mag., 2022
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot.
IEEE Comput. Intell. Mag., 2022
Artif. Intell. Rev., 2022
Artif. Intell. Rev., 2022
A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021
Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021
Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Hyperspectral Endmember Extraction by (μ + λ) Multiobjective Differential Evolution Algorithm Based on Ranking Multiple Mutations.
IEEE Trans. Geosci. Remote. Sens., 2021
IEEE Trans. Evol. Comput., 2021
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., 2021
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2021
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming.
IEEE Trans. Evol. Comput., 2021
IEEE Trans. Evol. Comput., 2021
IEEE Trans. Cybern., 2021
Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks.
IEEE Trans. Cybern., 2021
Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets.
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization.
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs).
IEEE Trans. Cybern., 2021
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking.
IEEE Trans. Cybern., 2021
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern., 2021
A Bi-Objective Constrained Robust Gate Assignment Problem: Formulation, Instances and Algorithm.
IEEE Trans. Cybern., 2021
Pattern Recognit. Lett., 2021
A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization.
Memetic Comput., 2021
Evolutionary multi and many-objective optimization via clustering for environmental selection.
Inf. Sci., 2021
Neurocomputing, 2021
Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization.
CoRR, 2021
CoRR, 2021
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics.
CoRR, 2021
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks.
CoRR, 2021
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research.
IEEE Comput. Intell. Mag., 2021
IEEE Comput. Intell. Mag., 2021
IEEE Comput. Intell. Mag., 2021
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 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
A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks.
IEEE Trans. Artif. Intell., 2020
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors.
Memetic Comput., 2020
Inf. Sci., 2020
An adaptive clustering-based evolutionary algorithm for many-objective optimization problems.
Inf. Sci., 2020
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks.
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
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 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
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
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
IEEE Trans. Serv. Comput., 2019
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
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
CoRR, 2019
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
Appl. Soft Comput., 2019
Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution.
IEEE Access, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
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
IEEE Trans. Cybern., 2018
IEEE Trans. Cybern., 2018
Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory".
IEEE Trans. Cogn. Dev. Syst., 2018
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
Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier].
IEEE Comput. Intell. Mag., 2018
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
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
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
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
IEEE Trans. Cybern., 2017
Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach.
IEEE Trans. Cybern., 2017
IEEE Trans. Cybern., 2017
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR, 2017
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
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
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
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2016
IEEE Trans. Cybern., 2016
Soft Comput., 2016
Decomposition-based multi-objective evolutionary algorithm for vehicle routing problem with stochastic demands.
Soft Comput., 2016
IEEE Comput. Intell. Mag., 2016
IEEE Comput. Intell. Mag., 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Cognitive Systems and Signal Processing, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
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
IEEE Trans. Cybern., 2015
IEEE Trans. Cybern., 2015
A hybrid evolutionary multiobjective optimization algorithm with adaptive multi-fitness assignment.
Soft Comput., 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 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
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
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
Memetic Comput., 2014
Neurocomputing, 2014
Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments.
Evol. Comput., 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the 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
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
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
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
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
Comput. Oper. Res., 2013
IEEE Comput. Intell. Mag., 2013
Appl. Soft Comput., 2013
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
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
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
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
IEEE Comput. Intell. Mag., 2012
IEEE Comput. Intell. Mag., 2012
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
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
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
IEEE Trans. Comput. Intell. AI Games, 2011
IEEE Comput. Intell. Mag., 2011
IEEE Comput. Intell. Mag., 2011
IEEE Comput. Intell. Mag., 2011
2010
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
Expert Syst. Appl., 2010
A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design.
Eur. J. Oper. Res., 2010
IEEE Comput. Intell. Mag., 2010
IEEE Comput. Intell. Mag., 2010
Ann. Oper. Res., 2010
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
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010
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
IEEE Trans. Neural Networks, 2009
IEEE Trans. Neural Networks, 2009
IEEE Trans. Evol. Comput., 2009
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
Soft Comput., 2009
J. Sched., 2009
Frontiers Comput. Sci. China, 2009
Expert Syst. Appl., 2009
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
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
IEEE Trans. Syst. Man Cybern. Part B, 2008
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
Int. J. Autom. Comput., 2008
Eur. J. Oper. Res., 2008
On solving multiobjective bin packing problems using evolutionary particle swarm optimization.
Eur. J. Oper. Res., 2008
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
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
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
IEEE Trans. Syst. Man Cybern. Part B, 2007
IEEE Trans. Evol. Comput., 2007
Soft Comput., 2007
Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation.
Eur. J. Oper. Res., 2007
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, 2007
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007
Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 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
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007
2006
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
IEEE Trans. Neural Networks, 2006
An automated methodology for the tracking of electrical performance for memory test systems.
IEEE Trans. Instrum. Meas., 2006
IEEE Trans. Evol. Comput., 2006
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
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
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
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
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
Advanced Information and Knowledge Processing, Springer, ISBN: 978-1-84628-132-7, 2005
IEEE Trans. Syst. Man Cybern. Part C, 2005
IEEE Trans. Instrum. Meas., 2005
IEEE Trans. Ind. Electron., 2005
Qualitative analysis for recurrent neural networks with linear threshold transfer functions.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
IEEE Trans Autom. Sci. Eng., 2005
IEEE Softw., 2005
Neural Comput., 2005
Eng. Appl. Artif. Intell., 2005
A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization.
Artif. Intell. Rev., 2005
Appl. Artif. Intell., 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
IEEE Trans. Neural Networks, 2004
IEEE Trans. Neural Networks, 2004
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
Appl. Artif. Intell., 2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
2003
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
An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization.
J. Artif. Intell. Res., 2003
Artif. Intell. Medicine, 2003
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
Proceedings of the IEEE International Conference on Systems, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
A hybrid multiobjective evolutionary algorithm for solving truck and trailer vehicle routing problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
Knowl. Inf. Syst., 2002
Design and real-time implementation of a multivariable gyro-mirror line-of-sight stabilization platform.
Fuzzy Sets Syst., 2002
Artif. Intell. Medicine, 2002
Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons.
Artif. Intell. Rev., 2002
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
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
Autonomous registration of disparate spatial data via an evolutionary algorithm toolbox.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 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
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
A messy genetic algorithm for the vehicle routing problem with time window constraints.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
2000
IEEE Trans. Syst. Man Cybern. Part B, 2000
Proceedings of the Real-World Applications of Evolutionary Computing, 2000
Evolutionary artificial potential fields and their application in real time robot path planning.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000
Proceedings of the American Control Conference, 2000
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