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ORCIDKay Chen Tan
Person information
- affiliation: Hong Kong Polytechnic University, Hong Kong
- affiliation (former): City University of Hong Kong, Hong Kong
- affiliation (former): National University of Singapore, Singapore
- affiliation (PhD 1997): University of Glasgow, UK
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2020 – today
- 2026
[j367]Gengzhi Zhang
, Liang Feng, Xuefeng Chen, Ke Tang, Kay Chen Tan:
Enhancing Reinforcement Learning With Cross-Domain Knowledge Transfer via Seeded Graph Matching. IEEE Trans. Neural Networks Learn. Syst. 37(1): 371-385 (2026)- [i87]Xinmeng Yu, Tao Jiang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off? CoRR abs/2601.18446 (2026) - 2025
- [j366]Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]. IEEE Comput. Intell. Mag. 20(1): 78-94 (2025) - [j365]Feng-Feng Wei, Wei-Neng Chen, Tian-Fang Zhao, Kay Chen Tan, Jun Zhang:
A Survey on Distributed Evolutionary Computation. IEEE Comput. Intell. Mag. 20(3): 41-62 (2025) - [j364]Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan:
Evaluation of Large Language Models as Solution Generators in Complex Optimization. IEEE Comput. Intell. Mag. 20(4): 56-70 (2025) - [j363]Yue Yang, Jihong Wan, Xiaoping Li, Xiaoling Yang, Hongmei Chen, Kay Chen Tan, Chris Cornelis:
Rational linear kernelized weighted fuzzy rough attribute selection with class separability. Fuzzy Sets Syst. 521: 109600 (2025) - [j362]Jihong Wan, Xiaoping Li, Pengfei Zhang, Hongmei Chen, Xiaocao Ouyang, Tianrui Li, Kay Chen Tan:
FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration. Inf. Fusion 120: 103101 (2025) - [j361]Yajie Zhang, Yu-An Huang, Yao Hu, Rui Liu, Jibin Wu, Zhi-An Huang, Kay Chen Tan:
CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis. Medical Image Anal. 103: 103581 (2025) - [j360]Panpan Zhang, Ru Zhang, Ye Tian, Kay Chen Tan, Xingyi Zhang:
A dual model-based evolutionary framework for dynamic large-scale sparse multiobjective optimization. Swarm Evol. Comput. 97: 102011 (2025) - [j359]Rui Liu, Yao Hu, Jibin Wu, Ka-Chun Wong, Zhi-An Huang, Yu-An Huang, Kay Chen Tan:
Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. IEEE Trans. Cybern. 55(3): 1121-1134 (2025) - [j358]Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
A Scalable Test Problem Generator for Sequential Transfer Optimization. IEEE Trans. Cybern. 55(5): 2110-2123 (2025) - [j357]Sheng-Hao Wu, Yuxiao Huang, Xingyu Wu, Liang Feng, Zhi-Hui Zhan, Kay Chen Tan:
Learning to Transfer for Evolutionary Multitasking. IEEE Trans. Cybern. 55(7): 3342-3355 (2025) - [j356]Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Knowledge Learning for Evolutionary Computation. IEEE Trans. Evol. Comput. 29(1): 16-30 (2025) - [j355]Zhenzhong Wang, Lulu Cao, Liang Feng, Min Jiang, Kay Chen Tan:
Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy. IEEE Trans. Evol. Comput. 29(1): 132-144 (2025) - [j354]Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Sam Kwong, Jun Zhang:
Knowledge Structure Preserving-Based Evolutionary Many-Task Optimization. IEEE Trans. Evol. Comput. 29(2): 287-301 (2025) - [j353]Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan:
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. IEEE Trans. Evol. Comput. 29(2): 534-554 (2025) - [j352]Qiyuan Yu, Qiuzhen Lin, Junkai Ji, Wei Zhou, Shan He, Zexuan Zhu, Kay Chen Tan:
A Survey on Evolutionary Computation-Based Drug Discovery. IEEE Trans. Evol. Comput. 29(3): 676-696 (2025) - [j351]Linqiang Pan, Jianqing Lin, Handing Wang, Cheng He, Kay Chen Tan, Yaochu Jin:
Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition. IEEE Trans. Evol. Comput. 29(4): 921-935 (2025) - [j350]Yulong Ye, Songbai Liu, Junwei Zhou, Qiuzhen Lin, Min Jiang, Kay Chen Tan:
Learning-Based Directional Improvement Prediction for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 29(4): 948-962 (2025) - [j349]Chenming Cao, Kai Zhang, Xiaoming Xue, Kay Chen Tan, Jian Wang, Liming Zhang, Piyang Liu, Xia Yan:
Global and Local Search Experience-Based Evolutionary Sequential Transfer Optimization. IEEE Trans. Evol. Comput. 29(4): 1269-1283 (2025) - [j348]Songbai Liu, Zeyi Wang, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan:
Learning-Aided Evolutionary Search and Selection for Scaling-Up Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 29(5): 1634-1648 (2025) - [j347]Beichen Huang, Ran Cheng, Zhuozhao Li, Yaochu Jin, Kay Chen Tan:
EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation. IEEE Trans. Evol. Comput. 29(5): 1649-1662 (2025) - [j346]Zhenzhong Wang, Dejun Xu, Min Jiang, Kay Chen Tan:
Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 29(5): 1990-2003 (2025) - [j345]Qiuzhen Lin, Qianhui Wang, Baihao Chen, Yulong Ye, Lijia Ma, Kay Chen Tan:
Multiobjective Many-Tasking Evolutionary Optimization Using Diversified Gaussian-Based Knowledge Transfer. IEEE Trans. Evol. Comput. 29(5): 2074-2088 (2025) - [j344]Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
Surrogate-Assisted Search With Competitive Knowledge Transfer for Expensive Optimization. IEEE Trans. Evol. Comput. 29(6): 2416-2430 (2025) - [j343]Weizhong Wang, Hai-Lin Liu, Kay Chen Tan:
Effective Identification of Lower-Level Optimal Solutions via Discriminator of Conditional Generative Adversarial Network. IEEE Trans. Evol. Comput. 29(6): 2446-2460 (2025) - [j342]Shuai Shao, Ye Tian, Limiao Zhang, Kay Chen Tan, Xingyi Zhang:
An Evolutionary Algorithm for Solving Large-Scale Robust Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 29(6): 2476-2490 (2025) - [j341]Xunfeng Wu, Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Victor C. M. Leung:
Evolutionary Multitasking With Adaptive Knowledge Transfer for Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. 29(6): 2537-2551 (2025) - [j340]Qingling Zhu, Yaojian Xu, Qiuzhen Lin, Zhong Ming, Kay Chen Tan:
Clustering-Based Short-Term Wind Speed Interval Prediction With Multi-Objective Ensemble Learning. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 304-317 (2025) - [j339]Xun Zhou, Songbai Liu, A. Kai Qin, Kay Chen Tan:
Evolutionary Neural Architecture Search for Transferable Networks. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1556-1568 (2025) - [j338]Qingling Zhu, Yeming Yang, Songbai Liu, Qiuzhen Lin, Kay Chen Tan:
SCGAN: Sampling and Clustering-Based Neural Architecture Search for GANs. IEEE Trans. Emerg. Top. Comput. Intell. 9(5): 3626-3637 (2025) - [j337]Yuqi Feng, Yanan Sun, Gary G. Yen, Kay Chen Tan:
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search. IEEE Trans. Knowl. Data Eng. 37(5): 2888-2902 (2025) - [j336]Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 36(6): 11548-11561 (2025) - [j335]Zhi-An Huang, Pengwei Hu, Lun Hu, Zhu-Hong You, Kay Chen Tan, Yu-An Huang:
Toward Multilabel Classification for Multiple Disease Prediction Using Gut Microbiota Profiles. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12840-12853 (2025) - [j334]Yajie Zhang, Yao Hu, Chengjun Cai, Yu-An Huang, Zhi-An Huang, Kay Chen Tan:
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning. IEEE Trans. Neural Networks Learn. Syst. 36(8): 15055-15069 (2025) - [j333]Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan:
Toward Ultralow-Power Neuromorphic Speech Enhancement With Spiking-FullSubNet. IEEE Trans. Neural Networks Learn. Syst. 36(9): 17350-17364 (2025) - [j332]Jiaxin Chen, Jinliang Ding, Kay Chen Tan, Jiancheng Qian, Ke Li:
MBL-CPDP: A Multi-Objective Bilevel Method for Cross-Project Defect Prediction. IEEE Trans. Software Eng. 51(8): 2305-2328 (2025) - [j331]Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Traffic Signal Timing Optimization: From Evolution to Adaptation. IEEE Trans. Syst. Man Cybern. Syst. 55(11): 8341-8356 (2025) - [c157]Lulu Cao, Zexin Lin, Kay Chen Tan, Min Jiang:
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP. AAAI 2025: 14212-14220 - [c156]Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan:
Design Principle Transfer in Neural Architecture Search via Large Language Models. AAAI 2025: 23000-23008 - [c155]Lulu Cao, Yinglan Feng, Min Jiang, Kay Chen Tan:
NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions. CEC 2025: 1-8 - [c154]Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan:
A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design. CEC 2025: 1-9 - [c153]Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan:
A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization. CEC 2025: 1-8 - [c152]Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu:
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. IJCAI 2025: 4887-4895 - [d1]Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Traffic Flow Dataset for "Traffic Signal Timing Optimization: From Evolution to Adaptation". Zenodo, 2025
- [i86]Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms. CoRR abs/2501.02857 (2025) - [i85]Bowen Zheng, Ran Cheng, Kay Chen Tan:
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning. CoRR abs/2501.15129 (2025) - [i84]Yu-An Huang, Yao Hu, Yue-Chao Li, Xiyue Cao, Xinyuan Li, Kay Chen Tan, Zhu-Hong You, Zhi-An Huang:
scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis. CoRR abs/2502.02630 (2025) - [i83]Chenxiang Ma, Xinyi Chen, Yanchen Li, Qu Yang, Yujie Wu, Guoqi Li, Gang Pan, Huajin Tang, Kay Chen Tan, Jibin Wu:
Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. CoRR abs/2502.09449 (2025) - [i82]Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan:
A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization. CoRR abs/2503.21156 (2025) - [i81]Zongxian Yang, Jiayu Qian, Zhi-An Huang, Kay Chen Tan:
QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model. CoRR abs/2504.12334 (2025) - [i80]Liu-Yue Luo, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation. CoRR abs/2505.04089 (2025) - [i79]Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu:
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. CoRR abs/2505.22035 (2025) - [i78]Jian Yao, Ran Cheng, Xingyu Wu, Jibin Wu, Kay Chen Tan:
Diversity-Aware Policy Optimization for Large Language Model Reasoning. CoRR abs/2505.23433 (2025) - [i77]Xingyu Wu, Kui Yu, Jibin Wu, Kay Chen Tan:
LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery. CoRR abs/2506.00844 (2025) - [i76]Chenxiang Ma, Xinyi Chen, Kay Chen Tan, Jibin Wu:
Spatio-Temporal Decoupled Learning for Spiking Neural Networks. CoRR abs/2506.01117 (2025) - [i75]Beichen Huang, Ran Cheng, Kay Chen Tan:
EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration. CoRR abs/2506.02049 (2025) - [i74]Jian Yao, Ran Cheng, Kay Chen Tan:
VAR-MATH: Probing True Mathematical Reasoning in Large Language Models via Symbolic Multi-Instance Benchmarks. CoRR abs/2507.12885 (2025) - [i73]Kebin Sun, Tao Jiang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning. CoRR abs/2508.00380 (2025) - [i72]Qingyuan Zeng, Shu Jiang, Jiajing Lin, Zhenzhong Wang, Kay Chen Tan, Min Jiang:
Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems. CoRR abs/2508.07263 (2025) - [i71]Yisong Zhang, Ran Cheng, Guoxing Yi, Kay Chen Tan:
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving. CoRR abs/2509.08269 (2025) - [i70]Chenxiang Ma, Xinyi Chen, Yujie Wu, Kay Chen Tan, Jibin Wu:
Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning. CoRR abs/2510.04098 (2025) - [i69]Yi Lu, Xiaoming Xue, Kai Zhang, Liming Zhang, Guodong Chen, Chenming Cao, Piyang Liu, Kay Chen Tan:
Multi-Task Surrogate-Assisted Search with Bayesian Competitive Knowledge Transfer for Expensive Optimization. CoRR abs/2510.23407 (2025) - [i68]Jiajun Zhan, Zeyuan Ma, Yue-Jiao Gong, Kay Chen Tan:
Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary Multitasking. CoRR abs/2511.15199 (2025) - [i67]Jiaxin Gao, Yaohua Liu, Ran Cheng, Kay Chen Tan:
Learning to Evolve with Convergence Guarantee via Neural Unrolling. CoRR abs/2512.11453 (2025) - 2024
- [j330]Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan:
A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3064-3078 (2024) - [j329]Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan:
Towards multi-objective high-dimensional feature selection via evolutionary multitasking. Swarm Evol. Comput. 89: 101618 (2024) - [j328]Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li:
LC-TTFS: Toward Lossless Network Conversion for Spiking Neural Networks With TTFS Coding. IEEE Trans. Cogn. Dev. Syst. 16(5): 1626-1639 (2024) - [j327]Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Block-Level Knowledge Transfer for Evolutionary Multitask Optimization. IEEE Trans. Cybern. 54(1): 558-571 (2024) - [j326]Xiangning Xie, Yanan Sun, Yuqiao Liu, Mengjie Zhang, Kay Chen Tan:
Architecture Augmentation for Performance Predictor via Graph Isomorphism. IEEE Trans. Cybern. 54(3): 1828-1840 (2024) - [j325]Jiaxin Chen, Jinliang Ding, Ke Li, Kay Chen Tan, Tianyou Chai:
A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization. IEEE Trans. Cybern. 54(7): 4177-4189 (2024) - [j324]Lei Zhou, Liang Feng, Kay Chen Tan, Jinghui Zhong, Zexuan Zhu, Kai Liu, Chao Chen:
Corrections to "Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation". IEEE Trans. Cybern. 54(11): 7116 (2024) - [j323]Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li:
Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning. IEEE Trans. Cybern. 54(12): 7430-7442 (2024) - [j322]Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin:
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Trans. Evol. Comput. 28(1): 47-61 (2024) - [j321]Yue Wu, Hangqi Ding, Maoguo Gong, A. Kai Qin, Wenping Ma, Qiguang Miao, Kay Chen Tan:
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. IEEE Trans. Evol. Comput. 28(1): 62-76 (2024) - [j320]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. 28(2): 323-337 (2024) - [j319]Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan:
Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. IEEE Trans. Evol. Comput. 28(2): 388-402 (2024) - [j318]Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan:
Toward Evolutionary Multitask Convolutional Neural Architecture Search. IEEE Trans. Evol. Comput. 28(3): 682-695 (2024) - [j317]Lei Chen, Hai-Lin Liu, Ke Li, Kay Chen Tan:
Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search. IEEE Trans. Evol. Comput. 28(3): 733-747 (2024) - [j316]Kailai Gao, Cuie Yang, Jinliang Ding, Kay Chen Tan, Tianyou Chai:
Distributed Knowledge Transfer for Evolutionary Multitask Multimodal Optimization. IEEE Trans. Evol. Comput. 28(4): 1141-1155 (2024) - [j315]Yuxiao Huang, Wei Zhou, Yu Wang, Min Li, Liang Feng, Kay Chen Tan:
Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(5): 1499-1513 (2024) - [j314]Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan:
A Multiform Evolutionary Search Paradigm for Bilevel Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(6): 1719-1732 (2024) - [j313]Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer. IEEE Trans. Evol. Comput. 28(6): 1776-1793 (2024) - [j312]Jianping Luo, YongFei Dong, Qiqi Liu, Zexuan Zhu, Wenming Cao, Kay Chen Tan, Yaochu Jin:
A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1894-1909 (2024) - [j311]Gengzhi Zhang, Liang Feng, Yu Wang, Min Li, Hong Xie, Kay Chen Tan:
Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2213-2227 (2024) - [j310]Songbai Liu, Jun Li, Qiuzhen Lin, Ye Tian, Jianqiang Li, Kay Chen Tan:
Evolutionary Large-Scale Multiobjective Optimization via Autoencoder-Based Problem Transformation. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2709-2722 (2024) - [j309]Rui Liu, Zhi-An Huang, Yao Hu, Lei Huang, Ka-Chun Wong, Kay Chen Tan:
Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4046-4058 (2024) - [j308]Haokai Hong, Min Jiang, Qiuzhen Lin, Kay Chen Tan:
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4197-4209 (2024) - [j307]Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Zhong Ming, Kay Chen Tan:
Decomposition-Based Multiobjective Evolutionary Optimization With Tabu Search for Dynamic Pickup and Delivery Problems. IEEE Trans. Intell. Transp. Syst. 25(10): 14830-14843 (2024) - [j306]Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Jinyi Long, Jian Weng, Kay Chen Tan:
Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5721-5734 (2024) - [j305]Cuie Yang, Bing Xue, Kay Chen Tan, Mengjie Zhang:
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6863-6877 (2024) - [j304]Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan:
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7627-7641 (2024) - [j303]Zhi-An Huang, Rui Liu, Zexuan Zhu, Kay Chen Tan:
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8161-8175 (2024) - [j302]Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan:
Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10591-10605 (2024) - [j301]Qiuzhen Lin, Yulong Ye, Lijia Ma, Min Jiang, Kay Chen Tan:
Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 936-949 (2024) - [c151]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. AAAI 2024: 16838-16847 - [c150]Lulu Cao, Yufei Liu, Zhenzhong Wang, Dejun Xu, Kai Ye, Kay Chen Tan, Min Jiang:
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. AAAI 2024: 20640-20648 - [c149]Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. AAAI 2024: 21690-21698 - [c148]Xuan Duan, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Kay Chen Tan:
Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. CEC 2024: 1-8 - [c147]Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan:
A Review on Evolutionary Multiform Transfer Optimization. CEC 2024: 1-8 - [c146]Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan:
Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. CEC 2024: 1-8 - [c145]Xin-Yu Wang, Qi-Te Yang, Yi Jiang, Kay Chen Tan, Jun Zhang, Zhi-Hui Zhan:
Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection. GECCO 2024 - [c144]Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan:
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. ICIC (2) 2024: 218-230 - [c143]Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan:
Scaling Supervised Local Learning with Augmented Auxiliary Networks. ICLR 2024 - [c142]Yajie Zhang, Zhi-An Huang, Jibin Wu, Kay Chen Tan:
Asymmetric Source-Free Unsupervised Domain Adaptation for Medical Image Diagnosis. CAI 2024: 234-239 - [c141]Wu Lin, Qiuzhen Lin, Xiaoming Xue, Kay Chen Tan:
Sequential Transfer via Clustering-Based Similarity Measurement for Faster Trajectory Optimization. CAI 2024: 1296-1301 - [c140]Xiang Hao, Chenxiang Ma, Qu Yang, Kay Chen Tan, Jibin Wu:
When Audio Denoising Meets Spiking Neural Network. CAI 2024: 1524-1527 - [c139]Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan:
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. IJCAI 2024: 5235-5244 - [c138]Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan:
Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. IJCNN 2024: 1-8 - [c137]Heping Liu, Songbai Liu, Junkai Ji, Qiuzhen Lin, Jianyong Chen, Kay Chen Tan:
Personalized Federated Learning with Enhanced Implicit Generalization. IJCNN 2024: 1-8 - [c136]Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan:
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. IJCNN 2024: 1-8 - [c135]Ruofan Yan, Shu Peng, Zhige Chen, Zhi-An Huang, Rui Liu, Kay Chen Tan, Jibin Wu:
Enhancing Spatio-Temporal Auditory Attention Decoding with ST-AADNet. ISCSLP 2024: 334-338 - [c134]Yajie Zhang, Zhi-An Huang, Zhiliang Hong, Songsong Wu, Jibin Wu, Kay Chen Tan:
Mixed Prototype Correction for Causal Inference in Medical Image Classification. ACM Multimedia 2024: 4377-4386 - [i66]Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan:
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking. CoRR abs/2401.01563 (2024) - [i65]Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan:
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. CoRR abs/2401.10034 (2024) - [i64]Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan:
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. CoRR abs/2402.15969 (2024) - [i63]Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan:
Scaling Supervised Local Learning with Augmented Auxiliary Networks. CoRR abs/2402.17318 (2024) - [i62]Yuxiao Huang, Wenjie Zhang, Liang Feng, Xingyu Wu, Kay Chen Tan:
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems. CoRR abs/2403.01757 (2024) - [i61]Haokai Hong, Wanyu Lin, Kay Chen Tan:
Diffusion-Driven Domain Adaptation for Generating 3D Molecules. CoRR abs/2404.00962 (2024) - [i60]Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan:
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. CoRR abs/2404.06290 (2024) - [i59]Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan:
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models. CoRR abs/2404.06349 (2024) - [i58]Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. CoRR abs/2404.12569 (2024) - [i57]Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan:
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. CoRR abs/2405.05767 (2024) - [i56]Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan:
Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection. CoRR abs/2405.11349 (2024) - [i55]Haokai Hong, Wanyu Lin, Kay Chen Tan:
Fast 3D Molecule Generation via Unified Geometric Optimal Transport. CoRR abs/2405.15252 (2024) - [i54]Zhenzhong Wang, Zehui Lin, Wanyu Lin, Ming Yang, Minggang Zeng, Kay Chen Tan:
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models. CoRR abs/2405.16041 (2024) - [i53]Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan:
Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators. CoRR abs/2406.08987 (2024) - [i52]Sheng-Hao Wu, Yuxiao Huang, Xingyu Wu, Liang Feng, Zhi-Hui Zhan, Kay Chen Tan:
Learning to Transfer for Evolutionary Multitasking. CoRR abs/2406.14359 (2024) - [i51]Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization. CoRR abs/2408.07176 (2024) - [i50]Zhenzhong Wang, Haowei Hua, Wanyu Lin, Ming Yang, Kay Chen Tan:
Crystalline Material Discovery in the Era of Artificial Intelligence. CoRR abs/2408.08044 (2024) - [i49]Xun Zhou, Liang Feng, Xingyu Wu, Zhichao Lu, Kay Chen Tan:
Design Principle Transfer in Neural Architecture Search via Large Language Models. CoRR abs/2408.11330 (2024) - [i48]Xinyi Chen, Jibin Wu, Chenxiang Ma, Yinsong Yan, Yujie Wu, Kay Chen Tan:
PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing. CoRR abs/2408.14917 (2024) - [i47]Yuxiao Huang, Xuebin Lv, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan:
Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models. CoRR abs/2409.04270 (2024) - [i46]Yu Zhou, Xingyu Wu, Jibin Wu, Liang Feng, Kay Chen Tan:
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models. CoRR abs/2409.18893 (2024) - [i45]Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan:
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet. CoRR abs/2410.04785 (2024) - [i44]Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan:
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. CoRR abs/2411.00625 (2024) - [i43]Jiaxin Chen, Jinliang Ding, Kay Chen Tan, Jiancheng Qian, Ke Li:
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning. CoRR abs/2411.06491 (2024) - 2023
- [j300]Cheng He, Dunwei Gong, Kay Chen Tan:
Guest editorial for special issue "Emerging topics in evolutionary multiobjective optimization". Complex Intell. Syst. 9(2): 1115-1116 (2023) - [j299]Limiao Ning, Junfei Dong, Rong Xiao, Kay Chen Tan, Huajin Tang:
Event-driven spiking neural networks with spike-based learning. Memetic Comput. 15(2): 205-217 (2023) - [j298]Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Xiaoyan Sun, Linqi Song, Kay Chen Tan:
Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13778-13795 (2023) - [j297]Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong:
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. IEEE Trans. Artif. Intell. 4(1): 107-120 (2023) - [j296]Zhi-An Huang, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan:
Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. IEEE Trans. Biomed. Eng. 70(4): 1137-1149 (2023) - [j295]Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Optimizing Niche Center for Multimodal Optimization Problems. IEEE Trans. Cybern. 53(4): 2544-2557 (2023) - [j294]Weizhong Wang, Hai-Lin Liu, Kay Chen Tan:
A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems. IEEE Trans. Cybern. 53(4): 2685-2697 (2023) - [j293]Jian-Yu Li, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Dual Differential Grouping: A More General Decomposition Method for Large-Scale Optimization. IEEE Trans. Cybern. 53(6): 3624-3638 (2023) - [j292]Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan:
Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression. IEEE Trans. Cybern. 53(7): 4162-4174 (2023) - [j291]Xunfeng Wu, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan, Victor C. M. Leung:
An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems. IEEE Trans. Cybern. 53(9): 5854-5866 (2023) - [j290]Yuchao Su, Qiuzhen Lin, Zhong Ming, Kay Chen Tan:
Adapting Decomposed Directions for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 53(10): 6289-6302 (2023) - [j289]Junkai Ji, Jiajun Zhao, Qiuzhen Lin, Kay Chen Tan:
Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model. IEEE Trans. Cybern. 53(11): 6829-6842 (2023) - [j288]Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Trans. Cybern. 53(11): 6937-6950 (2023) - [j287]Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Transferable Adaptive Differential Evolution for Many-Task Optimization. IEEE Trans. Cybern. 53(11): 7295-7308 (2023) - [j286]Songbai Liu, Jun Li, Qiuzhen Lin, Ye Tian, Kay Chen Tan:
Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(1): 67-81 (2023) - [j285]Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Orthogonal Transfer for Multitask Optimization. IEEE Trans. Evol. Comput. 27(1): 185-200 (2023) - [j284]Jing J. Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan:
A Survey on Evolutionary Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(2): 201-221 (2023) - [j283]Hongyan Chen, Hai-Lin Liu, Fangqing Gu, Kay Chen Tan:
A Multiobjective Multitask Optimization Algorithm Using Transfer Rank. IEEE Trans. Evol. Comput. 27(2): 237-250 (2023) - [j282]Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Qing Li, Kay Chen Tan:
Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. IEEE Trans. Evol. Comput. 27(3): 401-415 (2023) - [j281]Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue, Hongyu Lin, Kay Chen Tan:
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(3): 642-656 (2023) - [j280]Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan:
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. IEEE Trans. Evol. Comput. 27(4): 802-816 (2023) - [j279]Songbai Liu, Qiuzhen Lin, Liang Feng, Ka-Chun Wong, Kay Chen Tan:
Evolutionary Multitasking for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(4): 863-877 (2023) - [j278]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling. IEEE Trans. Evol. Comput. 27(5): 1192-1206 (2023) - [j277]Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
A Bi-Objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization. IEEE Trans. Evol. Comput. 27(5): 1514-1528 (2023) - [j276]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 27(6): 1705-1719 (2023) - [j275]Songbai Liu, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan:
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(6): 1941-1961 (2023) - [j274]Yao Hu, Xiaoyan Sun, Ye Tian, Linqi Song, Kay Chen Tan:
Communication Efficient Federated Learning With Heterogeneous Structured Client Models. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 753-767 (2023) - [j273]Haotian Zhang, Jianyong Sun, Kay Chen Tan, Zongben Xu:
Learning Adaptive Differential Evolution by Natural Evolution Strategies. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 872-886 (2023) - [j272]Ye Tian, Xiaopeng Li, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1051-1064 (2023) - [j271]Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(1): 446-460 (2023) - [j270]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan:
A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34(2): 550-570 (2023) - [j269]Zhenzhong Wang, Haokai Hong, Kai Ye, Guang-En Zhang, Min Jiang, Kay Chen Tan:
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4631-4645 (2023) - [j268]Guodong Du, Jia Zhang, Min Jiang, Jinyi Long, Yaojin Lin, Shaozi Li, Kay Chen Tan:
Graph-Based Class-Imbalance Learning With Label Enhancement. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6081-6095 (2023) - [j267]Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, Mengjie Zhang:
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7621-7634 (2023) - [j266]Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong:
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9040-9053 (2023) - [j265]Qiang Yu, Jialu Gao, Jianguo Wei, Jing Li, Kay Chen Tan, Tie-Jun Huang:
Improving Multispike Learning With Plastic Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10254-10265 (2023) - [j264]Ye Tian, Langchun Si, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Local Model-Based Pareto Front Estimation for Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 623-634 (2023) - [j263]Yuxiao Huang, Liang Feng, Min Li, Yu Wang, Zexuan Zhu, Kay Chen Tan:
Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5404-5416 (2023) - [c133]Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan:
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. AAAI 2023: 15224-15232 - [c132]Junjia Liu, Hengyi Sim, Chenzui Li, Kay Chen Tan, Fei Chen:
BiRP: Learning Robot Generalized Bimanual Coordination Using Relative Parameterization Method on Human Demonstration. CDC 2023: 8300-8305 - [c131]Xun Zhou, Songbai Liu, Ka-Chun Wong, Qiuzhen Lin, Kay Chen Tan:
A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. ICMLC 2023: 177-182 - [c130]Junjia Liu, Zhihao Li, Wanyu Lin, Sylvain Calinon, Kay Chen Tan, Fei Chen:
SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer. IROS 2023: 4920-4925 - [i42]Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. CoRR abs/2301.12457 (2023) - [i41]Haokai Hong, Min Jiang, Jonathan M. Garibaldi, Qiuzhen Lin, Kay Chen Tan:
A Recommender System Approach for Very Large-scale Multiobjective Optimization. CoRR abs/2304.04067 (2023) - [i40]Wei-Neng Chen, Feng-Feng Wei, Tian-Fang Zhao, Kay Chen Tan, Jun Zhang:
A Survey on Distributed Evolutionary Computation. CoRR abs/2304.05811 (2023) - [i39]Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
A Scalable Test Problem Generator for Sequential Transfer Optimization. CoRR abs/2304.08503 (2023) - [i38]Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan:
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. CoRR abs/2305.16594 (2023) - [i37]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
Long Short-term Memory with Two-Compartment Spiking Neuron. CoRR abs/2307.07231 (2023) - [i36]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling. CoRR abs/2308.13250 (2023) - [i35]Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan:
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding. CoRR abs/2308.15150 (2023) - [i34]Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan:
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. CoRR abs/2310.07284 (2023) - [i33]Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li:
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning. CoRR abs/2310.12538 (2023) - [i32]Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li:
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. CoRR abs/2310.14978 (2023) - [i31]Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan:
AS-LLM: When Algorithm Selection Meets Large Language Model. CoRR abs/2311.13184 (2023) - 2022
- [j262]Zhi-Hui Zhan, Lin Shi, Kay Chen Tan, Jun Zhang:
A survey on evolutionary computation for complex continuous optimization. Artif. Intell. Rev. 55(1): 59-110 (2022) - [j261]Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Kay Chen Tan, Hussein A. Abbass:
A survey, taxonomy and progress evaluation of three decades of swarm optimisation. Artif. Intell. Rev. 55(5): 3607-3725 (2022) - [j260]Yansen Su, Zhongxiang Jin, Ye Tian, Xingyi Zhang, Kay Chen Tan:
Comparing the Performance of Evolutionary Algorithms for Sparse Multi-Objective Optimization via a Comprehensive Indicator [Research Frontier]. IEEE Comput. Intell. Mag. 17(3): 34-53 (2022) - [j259]Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan:
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot. IEEE Comput. Intell. Mag. 17(4): 27-38 (2022) - [j258]Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Comput. Surv. 54(8): 174:1-174:34 (2022) - [j257]Ye Tian, Haowen Chen, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 9(10): 1801-1817 (2022) - [j256]Chaoda Peng, Hai-Lin Liu, Erik D. Goodman, Kay Chen Tan:
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. Knowl. Based Syst. 239: 107933 (2022) - [j255]Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan:
Solving large-scale multiobjective optimization via the probabilistic prediction model. Memetic Comput. 14(2): 165-177 (2022) - [j254]Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan:
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7824-7840 (2022) - [j253]Ye Tian, Shichen Peng, Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Action Command Encoding for Surrogate-Assisted Neural Architecture Search. IEEE Trans. Cogn. Dev. Syst. 14(3): 1129-1142 (2022) - [j252]Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan:
Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. IEEE Trans. Cybern. 52(3): 1364-1376 (2022) - [j251]Liang Feng, Wei Zhou, Weichen Liu, Yew-Soon Ong, Kay Chen Tan:
Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search. IEEE Trans. Cybern. 52(5): 2649-2662 (2022) - [j250]Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Maoguo Gong, Carlos A. Coello Coello:
A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. IEEE Trans. Cybern. 52(5): 3495-3509 (2022) - [j249]Jia Zhang, Shaozi Li, Min Jiang, Kay Chen Tan:
Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model. IEEE Trans. Cybern. 52(5): 3841-3854 (2022) - [j248]Xiaoming Xue, Kai Zhang, Kay Chen Tan, Liang Feng, Jian Wang, Guodong Chen, Xinggang Zhao, Liming Zhang, Jun Yao:
Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems. IEEE Trans. Cybern. 52(7): 6217-6231 (2022) - [j247]Zedong Tang, Maoguo Gong, Yue Wu, A. Kai Qin, Kay Chen Tan:
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. IEEE Trans. Cybern. 52(7): 6745-6758 (2022) - [j246]Heba El-Fiqi, Min Wang, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass:
Weighted Gate Layer Autoencoders. IEEE Trans. Cybern. 52(8): 7242-7253 (2022) - [j245]Ye Tian, Yajie Zhang, Yansen Su, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 52(9): 9559-9572 (2022) - [j244]Chunjiang Zhang, Liang Gao, Xinyu Li, Weiming Shen, Jiajun Zhou, Kay Chen Tan:
Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front. IEEE Trans. Cybern. 52(9): 9770-9783 (2022) - [j243]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. IEEE Trans. Cybern. 52(10): 10515-10528 (2022) - [j242]Huan Zhang, Jinliang Ding, Min Jiang, Kay Chen Tan, Tianyou Chai:
Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 52(10): 11240-11253 (2022) - [j241]Songbai Liu, Qiuzhen Lin, Ye Tian, Kay Chen Tan:
A Variable Importance-Based Differential Evolution for Large-Scale Multiobjective Optimization. IEEE Trans. Cybern. 52(12): 13048-13062 (2022) - [j240]Si-Chen Liu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
A Multiobjective Framework for Many-Objective Optimization. IEEE Trans. Cybern. 52(12): 13654-13668 (2022) - [j239]Lei Chen, Hai-Lin Liu, Kay Chen Tan, Ke Li:
Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization. IEEE Trans. Evol. Comput. 26(1): 115-129 (2022) - [j238]Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan:
A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(2): 248-262 (2022) - [j237]Yuxiao Huang, Liang Feng, Alex Kai Qin, Meng Chen, Kay Chen Tan:
Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. IEEE Trans. Evol. Comput. 26(3): 585-598 (2022) - [j236]Jian-Yu Li, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization. IEEE Trans. Evol. Comput. 26(4): 719-734 (2022) - [j235]Wei Zhou, Liang Feng, Kay Chen Tan, Min Jiang, Yong Liu:
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(5): 911-925 (2022) - [j234]Jianqiang Li, Tao Sun, Qiuzhen Lin, Min Jiang, Kay Chen Tan:
Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(5): 1102-1116 (2022) - [j233]Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-Ming Cheung, Linqi Song, Kay Chen Tan:
Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. IEEE Trans. Evol. Comput. 26(6): 1424-1438 (2022) - [j232]Ye Tian, Yuandong Feng, Chao Wang, Ruifen Cao, Xingyi Zhang, Xi Pei, Kay Chen Tan, Yaochu Jin:
A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning. IEEE Trans. Evol. Comput. 26(6): 1511-1525 (2022) - [j231]Qiuzhen Lin, Zhixiong Fang, Yi Chen, Kay Chen Tan, Yun Li:
Evolutionary Architectural Search for Generative Adversarial Networks. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 783-794 (2022) - [j230]Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong:
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23(2): 952-965 (2022) - [j229]Jian-Yu Li, Xinyi Deng, Zhi-Hui Zhan, Liang Yu, Kay Chen Tan, Kuei-Kuei Lai, Jun Zhang:
A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics. IEEE Trans. Intell. Transp. Syst. 23(12): 25062-25076 (2022) - [j228]Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan:
Synaptic Learning With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1134-1146 (2022) - [j227]Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan:
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1714-1726 (2022) - [j226]Qiang Yu, Shiming Song, Chenxiang Ma, Jianguo Wei, Shengyong Chen, Kay Chen Tan:
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3387-3399 (2022) - [j225]Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan:
Concept Drift-Tolerant Transfer Learning in Dynamic Environments. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3857-3871 (2022) - [j224]Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4861-4875 (2022) - [j223]Chunjiang Zhang, A. Kai Qin, Weiming Shen, Liang Gao, Kay Chen Tan, Xinyu Li:
ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 769-785 (2022) - [j222]Songbai Liu, Qiuzhen Lin, Qing Li, Kay Chen Tan:
A Comprehensive Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5829-5842 (2022) - [c129]Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan:
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CEC 2022: 1-8 - [c128]Songbai Liu, Min Jiang, Qiuzhen Lin, Kay Chen Tan:
Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation. CEC 2022: 1-8 - [c127]Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, Antoni B. Chan:
Crowd Counting in the Frequency Domain. CVPR 2022: 19586-19595 - [c126]Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan:
A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. IJCNN 2022: 1-8 - [i30]Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan:
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CoRR abs/2205.10052 (2022) - [i29]Xiangning Xie, Yuqiao Liu, Yanan Sun, Mengjie Zhang, Kay Chen Tan:
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism. CoRR abs/2207.00987 (2022) - [i28]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR abs/2208.04321 (2022) - [i27]Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan:
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection. CoRR abs/2212.08854 (2022) - [i26]Yuwei Ou, Xiangning Xie, Shangce Gao, Yanan Sun, Kay Chen Tan, Jiancheng Lv:
Differentiable Search of Accurate and Robust Architectures. CoRR abs/2212.14049 (2022) - 2021
- [j221]Kay Chen Tan:
IEEE CIS VP-Publications Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 16(1): 5-6 (2021) - [j220]Kay Chen Tan, Liang Feng, Min Jiang:
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research. IEEE Comput. Intell. Mag. 16(1): 22-33 (2021) - [j219]Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan:
Forecasting Wind Speed Time Series Via Dendritic Neural Regression. IEEE Comput. Intell. Mag. 16(3): 50-66 (2021) - [j218]Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin:
[Guest Editorial]. IEEE Comput. Intell. Mag. 16(4): 17-18 (2021) - [j217]Jibin Wu, Qi Liu, Malu Zhang, Zihan Pan, Haizhou Li, Kay Chen Tan:
HuRAI: A brain-inspired computational model for human-robot auditory interface. Neurocomputing 465: 103-113 (2021) - [j216]Songbai Liu, Junhao Zheng, Qiuzhen Lin, Kay Chen Tan:
Evolutionary multi and many-objective optimization via clustering for environmental selection. Inf. Sci. 578: 930-949 (2021) - [j215]Jiaxin Chen, Jinliang Ding, Kay Chen Tan, Qingda Chen:
A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization. Memetic Comput. 13(3): 413-432 (2021) - [j214]Min Wang, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass:
On the channel density of EEG signals for reliable biometric recognition. Pattern Recognit. Lett. 147: 134-141 (2021) - [j213]Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan:
People-Centric Evolutionary System for Dynamic Production Scheduling. IEEE Trans. Cybern. 51(3): 1403-1416 (2021) - [j212]Lei Zhou, Liang Feng, Kay Chen Tan, Jinghui Zhong, Zexuan Zhu, Kai Liu, Chao Chen:
Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation. IEEE Trans. Cybern. 51(5): 2563-2576 (2021) - [j211]Ye Tian, Chang Lu, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks. IEEE Trans. Cybern. 51(6): 3115-3128 (2021) - [j210]Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Trans. Cybern. 51(6): 3129-3142 (2021) - [j209]Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan:
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 51(6): 3143-3156 (2021) - [j208]Liang Feng, Lei Zhou, Abhishek Gupta, Jinghui Zhong, Zexuan Zhu, Kay Chen Tan, Alex Kai Qin:
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. IEEE Trans. Cybern. 51(6): 3171-3184 (2021) - [j207]Jiabin Lin, Hai-Lin Liu, Kay Chen Tan, Fangqing Gu:
An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization. IEEE Trans. Cybern. 51(6): 3238-3248 (2021) - [j206]Linqiang Pan, Lianghao Li, Ran Cheng, Cheng He, Kay Chen Tan:
Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. IEEE Trans. Cybern. 51(6): 3325-3337 (2021) - [j205]Min Jiang, Zhenzhong Wang, Liming Qiu, Shihui Guo, Xing Gao, Kay Chen Tan:
A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning. IEEE Trans. Cybern. 51(7): 3417-3428 (2021) - [j204]Xinye Cai, Wenxue Sun, Mustafa Misir, Kay Chen Tan, Xiaoping Li, Tao Xu, Zhun Fan:
A Bi-Objective Constrained Robust Gate Assignment Problem: Formulation, Instances and Algorithm. IEEE Trans. Cybern. 51(9): 4488-4500 (2021) - [j203]Min Jiang, Zhenzhong Wang, Shihui Guo, Xing Gao, Kay Chen Tan:
Individual-Based Transfer Learning for Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 51(10): 4968-4981 (2021) - [j202]Ye Tian, Ruchen Liu, Xingyi Zhang, Haiping Ma, Kay Chen Tan, Yaochu Jin:
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 25(3): 405-418 (2021) - [j201]Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(3): 448-462 (2021) - [j200]Su Nguyen, Dhananjay Raghavan Thiruvady, Mengjie Zhang, Kay Chen Tan:
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming. IEEE Trans. Evol. Comput. 25(3): 492-507 (2021) - [j199]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 25(4): 651-665 (2021) - [j198]Xun Zhou, A. Kai Qin, Maoguo Gong, Kay Chen Tan:
A Survey on Evolutionary Construction of Deep Neural Networks. IEEE Trans. Evol. Comput. 25(5): 894-912 (2021) - [j197]Lyuyang Tong, Bo Du, Rong Liu, Liangpei Zhang, Kay Chen Tan:
Hyperspectral Endmember Extraction by (μ + λ) Multiobjective Differential Evolution Algorithm Based on Ranking Multiple Mutations. IEEE Trans. Geosci. Remote. Sens. 59(3): 2352-2364 (2021) - [j196]Maoguo Gong, Jia Liu, A. Kai Qin, Kun Zhao, Kay Chen Tan:
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 420-434 (2021) - [j195]Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan:
Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning. IEEE Trans. Neural Networks Learn. Syst. 32(2): 625-638 (2021) - [j194]Tingfang Wu, Linqiang Pan, Qiang Yu, Kay Chen Tan:
Numerical Spiking Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2443-2457 (2021) - [j193]Zhi-An Huang, Zexuan Zhu, Chuen Heung Yau, Kay Chen Tan:
Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2847-2861 (2021) - [j192]Zhi-An Huang, Jia Zhang, Zexuan Zhu, Edmond Qi Wu, Kay Chen Tan:
Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3971-3984 (2021) - [c125]Xun Zhou, A. Kai Qin, Yanan Sun, Kay Chen Tan:
A Survey of Advances in Evolutionary Neural Architecture Search. CEC 2021: 950-957 - [c124]Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan, Sam Kwong:
EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding. CEC 2021: 1672-1679 - [c123]Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan:
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. EMO 2021: 605-616 - [i25]Zhenzhong Wang, Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan:
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks. CoRR abs/2101.02932 (2021) - [i24]Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong:
Multi-Space Evolutionary Search for Large-Scale Optimization. CoRR abs/2102.11693 (2021) - [i23]Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin:
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics. CoRR abs/2105.10657 (2021) - [i22]Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan:
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. CoRR abs/2108.04197 (2021) - [i21]Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Qing Li:
Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization. CoRR abs/2110.08033 (2021) - 2020
- [j191]Mengjie Zhang, Kay Chen Tan:
Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports]. IEEE Comput. Intell. Mag. 15(1): 4-5 (2020) - [j190]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(1): 19-21 (2020) - [j189]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(2): 11-13 (2020) - [j188]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(3): 12-14 (2020) - [j187]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(4): 5-7 (2020) - [j186]Weisen Tang, Hai-Lin Liu, Lei Chen, Kay Chen Tan, Yiu-ming Cheung:
Fast hypervolume approximation scheme based on a segmentation strategy. Inf. Sci. 509: 320-342 (2020) - [j185]Songbai Liu, Qiyuan Yu, Qiuzhen Lin, Kay Chen Tan:
An adaptive clustering-based evolutionary algorithm for many-objective optimization problems. Inf. Sci. 537: 261-283 (2020) - [j184]Zizhao Zhang, Weng Kee Wong, Kay Chen Tan:
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors. Memetic Comput. 12(3): 219-233 (2020) - [j183]Ye Tian, Shichen Peng, Xingyi Zhang, Tobias Rodemann, Kay Chen Tan, Yaochu Jin:
A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks. IEEE Trans. Artif. Intell. 1(1): 5-18 (2020) - [j182]Yiu-ming Cheung, Fangqing Gu, Hai-Lin Liu, Kay Chen Tan, Han Huang:
Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions. IEEE Trans. Cybern. 50(3): 923-934 (2020) - [j181]Linqiang Pan, Lianghao Li, Cheng He, Kay Chen Tan:
A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization. IEEE Trans. Cybern. 50(8): 3477-3490 (2020) - [j180]Rethnaraj Rambabu, Prahlad Vadakkepat, Kay Chen Tan, Min Jiang:
A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 50(12): 5099-5112 (2020) - [j179]Yiqun Zhang, Yiu-Ming Cheung, Kay Chen Tan:
A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(1): 39-52 (2020) - [j178]Jia Liu, Maoguo Gong, A. Kai Qin, Kay Chen Tan:
Bipartite Differential Neural Network for Unsupervised Image Change Detection. IEEE Trans. Neural Networks Learn. Syst. 31(3): 876-890 (2020) - [c122]Xuezhou Fan, Ke Li, Kay Chen Tan:
Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems. CEC 2020: 1-8 - [c121]Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan:
Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding. CEC 2020: 1-8 - [c120]Zhenyao Zhao, Min Jiang, Shihui Guo, Zhenzhong Wang, Fei Chao, Kay Chen Tan:
Improving Deep Learning based Optical Character Recognition via Neural Architecture Search. CEC 2020: 1-7 - [c119]Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan:
Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. ICSE 2020: 566-577 - [c118]Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan:
Multi-label Feature Selection via Global Relevance and Redundancy Optimization. IJCAI 2020: 2512-2518 - [c117]Zhi-An Huang, Rui Liu, Kay Chen Tan:
Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data. IJCNN 2020: 1-7 - [c116]Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan:
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. ASE 2020: 573-584 - [i20]Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan:
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. CoRR abs/2002.03148 (2020) - [i19]Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan:
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning. CoRR abs/2005.00723 (2020) - [i18]Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan:
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes. CoRR abs/2005.03231 (2020) - [i17]Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan:
Synaptic Learning with Augmented Spikes. CoRR abs/2005.04820 (2020) - [i16]Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan:
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. CoRR abs/2007.01204 (2020) - [i15]Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan:
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. CoRR abs/2008.13489 (2020) - [i14]Min Jiang, Guokun Chi, Geqiang Pan, Shihui Guo, Kay Chen Tan:
Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains. CoRR abs/2012.13320 (2020)
2010 – 2019
- 2019
- [j177]Weinan Xu, Weng Kee Wong, Kay Chen Tan, Jianxin Xu:
Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution. IEEE Access 7: 7133-7146 (2019) - [j176]Yihui Liang, Han Huang, Zhaoquan Cai, Zhifeng Hao, Kay Chen Tan:
Deep infrared pedestrian classification based on automatic image matting. Appl. Soft Comput. 77: 484-496 (2019) - [j175]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(1): 10-12 (2019) - [j174]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(2): 13-15 (2019) - [j173]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(3): 4-6 (2019) - [j172]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(4): 8-10 (2019) - [j171]Qiang Yu, Haizhou Li, Kay Chen Tan:
Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity. IEEE Trans. Cybern. 49(6): 2178-2189 (2019) - [j170]Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan:
Multiobjective Sparse Non-Negative Matrix Factorization. IEEE Trans. Cybern. 49(8): 2941-2954 (2019) - [j169]Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, Alex Kai Qin:
Evolutionary Multitasking via Explicit Autoencoding. IEEE Trans. Cybern. 49(9): 3457-3470 (2019) - [j168]Lei Chen, Hai-Lin Liu, Kay Chen Tan, Yiu-Ming Cheung, Yuping Wang:
Evolutionary Many-Objective Algorithm Using Decomposition-Based Dominance Relationship. IEEE Trans. Cybern. 49(12): 4129-4139 (2019) - [j167]Weinan Xu, Jianxin Xu, Danhua He, Kay Chen Tan:
An Evolutionary Constraint-Handling Technique for Parametric Optimization of a Cancer Immunotherapy Model. IEEE Trans. Emerg. Top. Comput. Intell. 3(2): 151-162 (2019) - [j166]Chong Zhang, Kay Chen Tan, Haizhou Li, Geok Soon Hong:
A Cost-Sensitive Deep Belief Network for Imbalanced Classification. IEEE Trans. Neural Networks Learn. Syst. 30(1): 109-122 (2019) - [j165]Xinle Liang, A. Kai Qin, Ke Tang, Kay Chen Tan:
QoS-Aware Web Service Selection with Internal Complementarity. IEEE Trans. Serv. Comput. 12(2): 276-289 (2019) - [c115]Ke Li, Zilin Xiang, Kay Chen Tan:
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. CEC 2019: 1988-1995 - [c114]Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu:
A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. CEC 2019: 2153-2159 - [c113]Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung:
Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. CEC 2019: 2794-2799 - [c112]Heba El-Fiqi, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass:
Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. IJCNN 2019: 1-8 - [c111]Guokun Chi, Min Jiang, Xing Gao, Weizhen Hu, Shihui Guo, Kay Chen Tan:
Online Bagging for Anytime Transfer Learning. SSCI 2019: 941-947 - [c110]Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan:
Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning. SSCI 2019: 2375-2381 - [i13]Ke Li, Zilin Xiang, Kay Chen Tan:
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. CoRR abs/1901.11120 (2019) - [i12]Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan:
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning. CoRR abs/1902.01094 (2019) - [i11]Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. CoRR abs/1907.01167 (2019) - [i10]Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs). CoRR abs/1910.04966 (2019) - [i9]Min Jiang, Weizhen Hu, Liming Qiu, Minghui Shi, Kay Chen Tan:
Solving dynamic multi-objective optimization problems via support vector machine. CoRR abs/1910.08747 (2019) - [i8]Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung:
Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. CoRR abs/1910.08751 (2019) - [i7]Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan:
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning. CoRR abs/1910.08753 (2019) - [i6]Guokun Chi, Min Jiang, Xing Gao, Weizhen Hu, Shihui Guo, Kay Chen Tan:
Online Bagging for Anytime Transfer Learning. CoRR abs/1910.08945 (2019) - [i5]Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, Kay Chen Tan:
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. CoRR abs/1911.08373 (2019) - 2018
- [j164]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(1): 25-27 (2018) - [j163]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(2): 13-15 (2018) - [j162]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(3): 8-11 (2018) - [j161]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(4): 10-12 (2018) - [j160]Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan:
Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier]. IEEE Comput. Intell. Mag. 13(4): 77-94 (2018) - [j159]Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang:
Special Issue of BICS 2016. Cogn. Comput. 10(2): 282-283 (2018) - [j158]Chunjiang Zhang, Kay Chen Tan, Loo Hay Lee, Liang Gao:
Adjust weight vectors in MOEA/D for bi-objective optimization problems with discontinuous Pareto fronts. Soft Comput. 22(12): 3997-4012 (2018) - [j157]Huajin Tang, Rui Yan, Kay Chen Tan:
Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory. IEEE Trans. Cogn. Dev. Syst. 10(3): 751-761 (2018) - [j156]Huajin Tang, Rui Yan, Kay Chen Tan:
Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory". IEEE Trans. Cogn. Dev. Syst. 10(4): 1165 (2018) - [j155]Ruoxu Ren, Terence Hung, Kay Chen Tan:
A Generic Deep-Learning-Based Approach for Automated Surface Inspection. IEEE Trans. Cybern. 48(3): 929-940 (2018) - [j154]Xin Qiu, Jian-Xin Xu, Ying hao Xu, Kay Chen Tan:
A New Differential Evolution Algorithm for Minimax Optimization in Robust Design. IEEE Trans. Cybern. 48(5): 1355-1368 (2018) - [j153]Pin Lim, Chi Keong Goh, Kay Chen Tan:
A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications. IEEE Trans. Emerg. Top. Comput. Intell. 2(3): 204-213 (2018) - [j152]Yajing Zheng, Shixin Li, Rui Yan, Huajin Tang, Kay Chen Tan:
Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5823-5833 (2018) - [j151]Willson Amalraj Arokiasami, Prahlad Vadakkepat, Kay Chen Tan, Dipti Srinivasan:
Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework. Unmanned Syst. 6(4): 231-250 (2018) - [c109]Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Adaptive charting genetic programming for dynamic flexible job shop scheduling. GECCO 2018: 1159-1166 - [c108]Min Jiang, Weizhen Hu, Liming Qiu, Minghui Shi, Kay Chen Tan:
Solving dynamic multi-objective optimization problems via support vector machine. ICACI 2018: 819-824 - [i4]Chong Zhang, Kay Chen Tan, Haizhou Li, Geok Soon Hong:
A Cost-Sensitive Deep Belief Network for Imbalanced Classification. CoRR abs/1804.10801 (2018) - [i3]Chong Zhang, Geok Soon Hong, Jun-Hong Zhou, Kay Chen Tan, Haizhou Li, Huan Xu, Jihoon Hong, Hian-Leng Chan:
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring. CoRR abs/1805.00367 (2018) - 2017
- [b4]Qiang Yu, Huajin Tang, Jun Hu, Kay Chen Tan:
Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach. Intelligent Systems Reference Library 126, Springer 2017, ISBN 978-3-319-55308-5, pp. 1-172 - [j150]Kay Chen Tan, Gary G. Yen:
Conference Report on 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016) [Conference Reports]. IEEE Comput. Intell. Mag. 12(1): 9-12 (2017) - [j149]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(1): 13-15 (2017) - [j148]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(2): 20-22 (2017) - [j147]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(3): 6-9 (2017) - [j146]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(4): 9-11 (2017) - [j145]Yue-he Zhu, Yazhong Luo, Kay Chen Tan, Xin Qui:
An Intelligent Packing Programming for Space Station Extravehicular Missions. IEEE Comput. Intell. Mag. 12(4): 38-47 (2017) - [j144]Sen Bong Gee, Kay Chen Tan, Hussein A. Abbass:
A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 47(2): 461-472 (2017) - [j143]Xin Qiu, Kay Chen Tan, Jian-Xin Xu:
Multiple Exponential Recombination for Differential Evolution. IEEE Trans. Cybern. 47(4): 995-1006 (2017) - [j142]Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan:
Multiobjective Multifactorial Optimization in Evolutionary Multitasking. IEEE Trans. Cybern. 47(7): 1652-1665 (2017) - [j141]Pin Lim, Chi Keong Goh, Kay Chen Tan:
Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning. IEEE Trans. Cybern. 47(9): 2850-2861 (2017) - [j140]Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules. IEEE Trans. Cybern. 47(9): 2951-2965 (2017) - [j139]Sen Bong Gee, Kay Chen Tan, Cesare Alippi:
Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach. IEEE Trans. Cybern. 47(12): 4223-4234 (2017) - [j138]Ruoxu Ren, Terence Hung, Kay Chen Tan:
Automatic Microstructure Defect Detection of Ti-6Al-4V Titanium Alloy by Regions-Based Graph. IEEE Trans. Emerg. Top. Comput. Intell. 1(2): 87-96 (2017) - [j137]Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Chuanchu Wang, Cuntai Guan:
Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components. IEEE Trans. Emerg. Top. Comput. Intell. 1(4): 270-279 (2017) - [j136]Pin Lim, Chi Keong Goh, Kay Chen Tan, Partha Sarathi Dutta:
Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble. IEEE Trans. Neural Networks Learn. Syst. 28(1): 136-148 (2017) - [j135]Chong Zhang, Pin Lim, A. Kai Qin, Kay Chen Tan:
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2306-2318 (2017) - [c107]Berrak Sisman, Haizhou Li, Kay Chen Tan:
Transformation of prosody in voice conversion. APSIPA 2017: 1537-1546 - [c106]Berrak Sisman, Haizhou Li, Kay Chen Tan:
Sparse representation of phonetic features for voice conversion with and without parallel data. ASRU 2017: 677-684 - [c105]Cuie Yang, Jinliang Ding, Kay Chen Tan, Yaochu Jin:
Two-stage assortative mating for multi-objective multifactorial evolutionary optimization. CDC 2017: 76-81 - [c104]Chong Zhang, Geok Soon Hong, Huan Xu, Kay Chen Tan, Jun-Hong Zhou, Hian-Leng Chan, Haizhou Li:
A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring. ETFA 2017: 1-8 - [c103]Berrak Sisman, Grandee Lee, Haizhou Li, Kay Chen Tan:
On the analysis and evaluation of prosody conversion techniques. IALP 2017: 44-47 - [c102]Lei Chen, Hai-Lin Liu, Kay Chen Tan:
Decomposition based dominance relationship for evolutionary many-objective algorithm. SSCI 2017: 1-6 - [c101]Weinan Xu, Jianxin Xu, Danhua He, Kay Chen Tan:
A combined differential evolution and NSGA-II approach for parametric optimization of a cancer immunotherapy model. SSCI 2017: 1-8 - [e10]Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin:
Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings. Lecture Notes in Computer Science 10593, Springer 2017, ISBN 978-3-319-68758-2 [contents] - [i2]Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi:
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR abs/1706.02766 (2017) - 2016
- [j134]Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Angelo Cangelosi:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 11(1): 15-17 (2016) - [j133]Hussein A. Abbass, Cuntai Guan, Kay Chen Tan:
Computational Intelligence for Brain Computer Interface [Guest Editorial]. IEEE Comput. Intell. Mag. 11(1): 18 (2016) - [j132]Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin:
CIS Publication Spotlight Publication Spotlight. IEEE Comput. Intell. Mag. 11(2): 10-12 (2016) - [j131]Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li:
How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier. IEEE Comput. Intell. Mag. 11(2): 56-68 (2016) - [j130]Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 11(3): 6, 75 (2016) - [j129]Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 11(4): 8-10 (2016) - [j128]Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun:
Decompositional independent component analysis using multi-objective optimization. Soft Comput. 20(4): 1289-1304 (2016) - [j127]Sen Bong Gee, Willson Amalraj Arokiasami, Jing Jiang, Kay Chen Tan:
Decomposition-based multi-objective evolutionary algorithm for vehicle routing problem with stochastic demands. Soft Comput. 20(9): 3443-3453 (2016) - [j126]Arrchana Muruganantham, Kay Chen Tan, Prahlad Vadakkepat:
Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction. IEEE Trans. Cybern. 46(12): 2862-2873 (2016) - [j125]Xin Qiu, Jian-Xin Xu, Kay Chen Tan, Hussein A. Abbass:
Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization. IEEE Trans. Evol. Comput. 20(2): 232-244 (2016) - [j124]Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan, Haizhou Li:
A Spiking Neural Network System for Robust Sequence Recognition. IEEE Trans. Neural Networks Learn. Syst. 27(3): 621-635 (2016) - [c100]Willson Amalraj Arokiasami, Prahlad Vadakkepat, Kay Chen Tan, Dipti Srinivasan:
Vector directed path generation and tracking for autonomous unmanned aerial/ ground vehicles. CEC 2016: 1375-1381 - [c99]Kevin Ardian, Fumihiko Taya, Yu Sun, Anastasios Bezerianos, Kay Chen Tan:
Optimization of workload level estimation using selection of EEG channel connectivity. CEC 2016: 1985-1990 - [c98]Jin Kiat Chong, Kay Chen Tan:
A novel grid-based differential evolution (DE) algorithm for many-objective optimization. CEC 2016: 2776-2783 - [c97]Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Maximising total weighted number of activities for reservation with slack. CEC 2016: 3370-3377 - [c96]Xin Qiu, Jian-Xin Xu, Kay Chen Tan:
Enhancing exploration in differential evolution via exponential recombination. CEC 2016: 4076-4081 - [c95]Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan:
A Spiking Neural Network Model for Sound Recognition. ICCSIP 2016: 584-594 - [c94]Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Cuntai Guan, Chuanchu Wang:
Multiway analysis of EEG artifacts based on Block Term Decomposition. IJCNN 2016: 913-920 - [c93]Ruoxu Ren, Li Ma, Kay Chen Tan:
Deep inverse regression with modified document probability for text classification. IJCNN 2016: 1654-1659 - [c92]Pin Lim, Chi Keong Goh, Kay Chen Tan:
A time window neural network based framework for Remaining Useful Life estimation. IJCNN 2016: 1746-1753 - [c91]Chong Zhang, Kay Chen Tan, Ruoxu Ren:
Training cost-sensitive Deep Belief Networks on imbalance data problems. IJCNN 2016: 4362-4367 - [e9]Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang:
Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings. Lecture Notes in Computer Science 10023, 2016, ISBN 978-3-319-49684-9 [contents] - 2015
- [j123]Derong Liu, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Angelo Cangelosi:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 10(1): 16-17 (2015) - [j122]Derong Liu, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Angelo Cangelosi:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 10(3): 5-7 (2015) - [j121]Derong Liu, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Angelo Cangelosi:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 10(4): 7-9 (2015) - [j120]Fangqing Gu, Hai-Lin Liu, Kay Chen Tan:
A hybrid evolutionary multiobjective optimization algorithm with adaptive multi-fitness assignment. Soft Comput. 19(11): 3249-3259 (2015) - [j119]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. IEEE Trans. Cybern. 45(1): 1-14 (2015) - [j118]Vui Ann Shim, Kay Chen Tan, Huajin Tang:
Adaptive Memetic Computing for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 45(4): 610-621 (2015) - [j117]Sen Bong Gee, Kay Chen Tan, Vui Ann Shim, Nikhil R. Pal:
Online Diversity Assessment in Evolutionary Multiobjective Optimization: A Geometrical Perspective. IEEE Trans. Evol. Comput. 19(4): 542-559 (2015) - [c90]Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems. CEC 2015: 2781-2788 - [c89]Sim Kuan Goh, Kay Chen Tan, Abdullah Al Mamun, Hussein A. Abbass:
Evolutionary Big Optimization (BigOpt) of Signals. CEC 2015: 3332-3339 - [c88]Su Nguyen, Mengjie Zhang, Kay Chen Tan:
A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling. GECCO 2015: 433-440 - [c87]Xin Qiu, Weinan Xu, Jian-Xin Xu, Kay Chen Tan:
A New Framework for Self-adapting Control Parameters in Multi-objective Optimization. GECCO 2015: 743-750 - [c86]Arrchana Muruganantham, Kay Chen Tan, Prahlad Vadakkepat:
Proceedings in Adaptation, Learning and Optimization. IES 2015: 239-252 - [c85]Chong Zhang, Jia Hui Sun, Kay Chen Tan:
Deep Belief Networks Ensemble with Multi-objective Optimization for Failure Diagnosis. SMC 2015: 32-37 - [c84]Kay Chen Tan:
Evolutionary multi-objective optimization in engineering and prognostic applications. TAAI 2015: 26 - 2014
- [j116]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments. Evol. Comput. 22(1): 105-138 (2014) - [j115]Qiang Yu, Huajin Tang, Kay Chen Tan, Haoyong Yu:
A brain-inspired spiking neural network model with temporal encoding and learning. Neurocomputing 138: 3-13 (2014) - [j114]Chin Hiong Tan, Kay Chen Tan, Vui Ann Shim:
Learning believable game agents using sensor noise and action histogram. Memetic Comput. 6(4): 215-232 (2014) - [j113]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming. IEEE Trans. Evol. Comput. 18(2): 193-208 (2014) - [c83]Sen Bong Gee, Kay Chen Tan:
Diversity preservation with hybrid recombination for evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation 2014: 1172-1178 - [c82]Xin Qiu, Jian-Xin Xu, Kay Chen Tan:
A novel Differential Evolution (DE) algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation 2014: 2391-2396 - [c81]Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun:
Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model. ICONIP (1) 2014: 570-577 - [c80]Qiang Yu, Huajin Tang, Kay Chen Tan:
A new learning rule for classification of spatiotemporal spike patterns. IJCNN 2014: 3853-3858 - [c79]Xin Qiu, Ye Huang, Jian-Xin Xu, Kay Chen Tan:
A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space. SEAL 2014: 192-203 - [c78]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. SEAL 2014: 656-667 - [e8]Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang:
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings. Lecture Notes in Computer Science 8886, Springer 2014, ISBN 978-3-319-13562-5 [contents] - 2013
- [j112]Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun:
Dynamic index tracking via multi-objective evolutionary algorithm. Appl. Soft Comput. 13(7): 3392-3408 (2013) - [j111]Kay Chen Tan:
The "vision" of tomorrow! [Editor's Remarks]. IEEE Comput. Intell. Mag. 8(1): 2 (2013) - [j110]Kay Chen Tan:
It's Just "Emotions" Has Taken Over? [Editor's Remarks]. IEEE Comput. Intell. Mag. 8(2): 2 (2013) - [j109]Kay Chen Tan:
Auld Lang Syne [Editor's Remarks]. IEEE Comput. Intell. Mag. 8(4): 2-9 (2013) - [j108]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Hybrid evolutionary computation methods for quay crane scheduling problems. Comput. Oper. Res. 40(8): 2083-2093 (2013) - [j107]Vui Ann Shim, Kay Chen Tan, Jun Yong Chia, Abdullah Al Mamun:
Multi-Objective Optimization with Estimation of Distribution Algorithm in a Noisy Environment. Evol. Comput. 21(1): 149-177 (2013) - [j106]Vui Ann Shim, Kay Chen Tan, Chun Yew Cheong, Jun Yong Chia:
Enhancing the scalability of multi-objective optimization via restricted Boltzmann machine-based estimation of distribution algorithm. Inf. Sci. 248: 191-213 (2013) - [j105]Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li, Luping Shi:
A Spike-Timing-Based Integrated Model for Pattern Recognition. Neural Comput. 25(2): 450-472 (2013) - [j104]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem. IEEE Trans. Evol. Comput. 17(5): 621-639 (2013) - [j103]Aniruddha Basak, Swagatam Das, Kay Chen Tan:
Multimodal Optimization Using a Biobjective Differential Evolution Algorithm Enhanced With Mean Distance-Based Selection. IEEE Trans. Evol. Comput. 17(5): 666-685 (2013) - [j102]Vui Ann Shim, Kay Chen Tan, Chun Yew Cheong:
An Energy-Based Sampling Technique for Multi-Objective Restricted Boltzmann Machine. IEEE Trans. Evol. Comput. 17(6): 767-785 (2013) - [j101]Qiang Yu, Huajin Tang, Kay Chen Tan, Haizhou Li:
Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1539-1552 (2013) - [c77]Jun Hu, Huajin Tang, Kay Chen Tan:
Spiking-timing based pattern recognition with real-world visual stimuli. CCMB 2013: 23-28 - [c76]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. EuroGP 2013: 157-168 - [c75]Huajin Tang, Bo Tian, Vui Ann Shim, Kay Chen Tan:
A neuro-cognitive system and its application in robotics. ICCA 2013: 406-411 - [c74]Sen Bong Gee, Xin Qiu, Kay Chen Tan:
A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization. IDEAL 2013: 270-277 - [c73]Yung Siang Liau, Kay Chen Tan, Jun Hu, Xin Qiu, Sen Bong Gee:
Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition. IDEAL 2013: 553-560 - [c72]Jun Hu, Huajin Tang, Kay Chen Tan:
A hierarchical organized memory model using spiking neurons. IJCNN 2013: 1-6 - [p6]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach. Automated Scheduling and Planning 2013: 251-282 - [e7]Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers. Lecture Notes in Computer Science 7867, Springer 2013, ISBN 978-3-642-40318-7 [contents] - 2012
- [j100]Kay Chen Tan:
CI at Work! [Editor's Remarks]. IEEE Comput. Intell. Mag. 7(1): 2-18 (2012) - [j99]Kay Chen Tan:
Empowering Semantic Web with Computational Intelligence [Editor's Remarks]. IEEE Comput. Intell. Mag. 7(2): 2-10 (2012) - [j98]Kay Chen Tan:
Type-2 Fuzzy Logic - Plodding on Steadily and Staying Relevant [Editor's Remarks]. IEEE Comput. Intell. Mag. 7(3): 2, 8 (2012) - [j97]Kay Chen Tan:
Propelling Bioinformatics a Notch Higher [Editor's Remarks]. IEEE Comput. Intell. Mag. 7(4): 2-12 (2012) - [j96]Jun Yong Chia, Chi Keong Goh, Vui Ann Shim, Kay Chen Tan:
A data mining approach to evolutionary optimisation of noisy multi-objective problems. Int. J. Syst. Sci. 43(7): 1217-1247 (2012) - [j95]Vui Ann Shim, Kay Chen Tan, Chun Yew Cheong:
A Hybrid Estimation of Distribution Algorithm with Decomposition for Solving the Multiobjective Multiple Traveling Salesman Problem. IEEE Trans. Syst. Man Cybern. Part C 42(5): 682-691 (2012) - [c71]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c70]Vui Ann Shim, Kay Chen Tan, Kok Kiong Tan:
A hybrid estimation of distribution algorithm for solving the multi-objective multiple traveling salesman problem. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c69]Vui Ann Shim, Kay Chen Tan, Kok Kiong Tan:
A hybrid adaptive evolutionary algorithm in the domination-based and decomposition-based frameworks of multi-objective optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c68]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. EuroGP 2012: 121-133 - [c67]Huajin Tang, Qiang Yu, Kay Chen Tan:
Learning real-world stimuli by single-spike coding and tempotron rule. IJCNN 2012: 1-6 - [c66]Qiang Yu, Kay Chen Tan, Huajin Tang:
Pattern recognition computation in a spiking neural network with temporal encoding and learning. IJCNN 2012: 1-7 - [c65]Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. SEAL 2012: 341-350 - [c64]Kay Chen Tan:
Advances in Evolutionary Multi-objective Optimization. SOFA 2012: 7-8 - [c63]Vui Ann Shim, Kay Chen Tan:
Probabilistic Graphical Approaches for Learning, Modeling, and Sampling in Evolutionary Multi-objective Optimization. WCCI 2012: 122-144 - 2011
- [j94]Kay Chen Tan:
Welcoming the Year of the Rabbit! [Editor's Remarks]. IEEE Comput. Intell. Mag. 6(1): 2-3 (2011) - [j93]Kay Chen Tan:
Goodbye James Bond, Hello Games Bond! [Editor's Remarks]. IEEE Comput. Intell. Mag. 6(2): 2-14 (2011) - [j92]Kay Chen Tan:
Nothing's Too Small to Have an Impact [Editor's Remarks]. IEEE Comput. Intell. Mag. 6(3): 2 (2011) - [j91]Kay Chen Tan:
'Tis the Season to be Healthy! IEEE Comput. Intell. Mag. 6(4): 2 (2011) - [j90]Jun Yong Chia, Chi Keong Goh, Kay Chen Tan, Vui Ann Shim:
Memetic informed evolutionary optimization via data mining. Memetic Comput. 3(2): 73-87 (2011) - [j89]Chin Hiong Tan, Kay Chen Tan, Arthur Tay:
Dynamic Game Difficulty Scaling Using Adaptive Behavior-Based AI. IEEE Trans. Comput. Intell. AI Games 3(4): 289-301 (2011) - [j88]Yew-Soon Ong, Kay Chen Tan:
Guest Editorial. IEEE Trans. Evol. Comput. 15(5): 589-590 (2011) - [j87]Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan:
A Multi-Facet Survey on Memetic Computation. IEEE Trans. Evol. Comput. 15(5): 591-607 (2011) - [i1]Eik Fun Khor, Tong Heng Lee, Ramasubramanian Sathikannan, Kay Chen Tan:
An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization. CoRR abs/1106.0284 (2011) - 2010
- [j86]Graham Kendall, Kay Chen Tan, Edmund K. Burke, Stephen F. Smith:
Preface for the special volume on Computational Intelligence in Scheduling. Ann. Oper. Res. 180(1): 1-2 (2010) - [j85]Chun Yew Cheong, Kay Chen Tan, Dikai Liu, C. J. Lin:
Multi-objective and prioritized berth allocation in container ports. Ann. Oper. Res. 180(1): 63-103 (2010) - [j84]Kay Chen Tan:
New year, New Challenges [Editor's Remarks]. IEEE Comput. Intell. Mag. 5(1): 2 (2010) - [j83]Kay Chen Tan:
Not Just a "Meme" to an End [Editor's Remarks]. IEEE Comput. Intell. Mag. 5(2): 2-14 (2010) - [j82]Kay Chen Tan:
Correction. IEEE Comput. Intell. Mag. 5(2): 4 (2010) - [j81]Kay Chen Tan:
The Nuts and "Bots" of Our Future [Editor's Remarks]. IEEE Comput. Intell. Mag. 5(3): 2-6 (2010) - [j80]Kay Chen Tan:
A Gathering of Intelligent Agents [Editor's Remarks]. IEEE Comput. Intell. Mag. 5(4): 2-4 (2010) - [j79]Chi Keong Goh, Kay Chen Tan, D. S. Liu, Swee Chiang Chiam:
A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. Eur. J. Oper. Res. 202(1): 42-54 (2010) - [j78]Ji Hua Ang, Kay Chen Tan, Abdullah Al Mamun:
An evolutionary memetic algorithm for rule extraction. Expert Syst. Appl. 37(2): 1302-1315 (2010) - [j77]Chin Hiong Tan, Kay Chen Tan, Arthur Tay:
Computationally efficient behaviour based controller for real time car racing simulation. Expert Syst. Appl. 37(7): 4850-4859 (2010) - [j76]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
An investigation on noise-induced features in robust evolutionary multi-objective optimization. Expert Syst. Appl. 37(8): 5960-5980 (2010) - [j75]Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun:
Exploiting molecular dynamics for multi-objective optimization. Expert Syst. Appl. 37(8): 5981-5992 (2010) - [j74]Ke Tang, Kay Chen Tan, Hisao Ishibuchi:
Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization. Memetic Comput. 2(1): 1 (2010) - [j73]Wee Tat Koo, Chi Keong Goh, Kay Chen Tan:
A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. Memetic Comput. 2(2): 87-110 (2010) - [c62]Vui Ann Shim, Kay Chen Tan, Jun Yong Chia:
An investigation on sampling technique for multi-objective restricted Boltzmann machine. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c61]Huajin Tang, Vui Ann Shim, Kay Chen Tan, Jun Yong Chia:
Restricted Boltzmann machine based algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c60]Kay Chen Tan:
CPSCom 2010 Keynote Speech: Kay Chen Tan. GreenCom/CPSCom 2010 - [c59]Vui Ann Shim, Kay Chen Tan, Jun Yong Chia:
Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem. SEAL 2010: 588-592 - [e6]Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan:
Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings. Lecture Notes in Computer Science 6457, Springer 2010, ISBN 978-3-642-17297-7 [contents] - [e5]Ying Tan, Yuhui Shi, Kay Chen Tan:
Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6145, Springer 2010, ISBN 978-3-642-13494-4 [contents] - [e4]Ying Tan, Yuhui Shi, Kay Chen Tan:
Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6146, Springer 2010, ISBN 978-3-642-13497-5 [contents]
2000 – 2009
- 2009
- [b3]Chi Keong Goh, Kay Chen Tan:
Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms. Studies in Computational Intelligence 186, Springer 2009, ISBN 978-3-540-95975-5, pp. 1-251 [contents] - [j72]Kay Chen Tan, Swee Chiang Chiam, Abdullah Al Mamun, Chi Keong Goh:
Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. Eur. J. Oper. Res. 197(2): 701-713 (2009) - [j71]Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun:
A memetic model of evolutionary PSO for computational finance applications. Expert Syst. Appl. 36(2): 3695-3711 (2009) - [j70]Kay Chen Tan, Eu Jin Teoh, Qiang Yu, K. C. Goh:
A hybrid evolutionary algorithm for attribute selection in data mining. Expert Syst. Appl. 36(4): 8616-8630 (2009) - [j69]Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun:
Investigating technical trading strategy via an multi-objective evolutionary platform. Expert Syst. Appl. 36(7): 10408-10423 (2009) - [j68]Hanyang Quek, Chunghoong Woo, Kay Chen Tan, Arthur Tay:
Evolving Nash-optimal poker strategies using evolutionary computation. Frontiers Comput. Sci. China 3(1): 73-91 (2009) - [j67]Chun Yew Cheong, Kay Chen Tan, Bharadwaj Veeravalli:
A multi-objective evolutionary algorithm for examination timetabling. J. Sched. 12(2): 121-146 (2009) - [j66]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. 13(8-9): 833-846 (2009) - [j65]Hanyang Quek, Kay Chen Tan, Arthur Tay:
Public Goods Provision: An Evolutionary Game Theoretic Study Under Asymmetric Information. IEEE Trans. Comput. Intell. AI Games 1(2): 105-120 (2009) - [j64]Chi Keong Goh, Kay Chen Tan:
A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 13(1): 103-127 (2009) - [j63]Hanyang Quek, Kay Chen Tan, Chi Keong Goh, Hussein A. Abbass:
Evolution and Incremental Learning in the Iterated Prisoner's Dilemma. IEEE Trans. Evol. Comput. 13(2): 303-320 (2009) - [j62]Hanyang Quek, Kay Chen Tan, Hussein A. Abbass:
Evolutionary Game Theoretic Approach for Modeling Civil Violence. IEEE Trans. Evol. Comput. 13(4): 780-800 (2009) - [j61]Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang:
Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks. IEEE Trans. Neural Networks 20(1): 175-180 (2009) - [j60]Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang:
Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks. IEEE Trans. Neural Networks 20(11): 1842-1851 (2009) - [c58]Chun Yew Cheong, Kay Chen Tan, Dikai Liu:
Solving the berth allocation problem with service priority via multi-objective optimization. CISched 2009: 95-102 - [c57]Kuan Liang Tan, Chin Hiong Tan, Kay Chen Tan, Arthur Tay:
Adaptive game AI for Gomoku. ICARA 2009: 507-512 - [p5]Chun Yew Cheong, Kay Chen Tan:
Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand. Bio-inspired Algorithms for the Vehicle Routing Problem 2009: 101-129 - 2008
- [j59]Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun, E. Z. Ei:
An evolutionary artificial immune system for multi-objective optimization. Eur. J. Oper. Res. 187(2): 371-392 (2008) - [j58]D. S. Liu, Kay Chen Tan, S. Y. Huang, Chi Keong Goh, Weng Khuen Ho:
On solving multiobjective bin packing problems using evolutionary particle swarm optimization. Eur. J. Oper. Res. 190(2): 357-382 (2008) - [j57]Swee Chiang Chiam, Kay Chen Tan, A. Al Mamum:
Evolutionary multi-objective portfolio optimization in practical context. Int. J. Autom. Comput. 5(1): 67-80 (2008) - [j56]Eu Jin Teoh, Kay Chen Tan, Huajin Tang, Cheng Xiang, Chi Keong Goh:
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. Neurocomputing 71(7-9): 1359-1372 (2008) - [j55]Ji Hua Ang, Kay Chen Tan, Abdullah Al Mamun:
Training neural networks for classification using growth probability-based evolution. Neurocomputing 71(16-18): 3493-3508 (2008) - [j54]Ji Hua Ang, Sheng-Uei Guan, Kay Chen Tan, Abdullah Al Mamun:
Interference-less neural network training. Neurocomputing 71(16-18): 3509-3524 (2008) - [j53]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Trans. Neural Networks 19(9): 1531-1548 (2008) - [j52]Swee Chiang Chiam, Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun:
Improving Locality in Binary Representation via Redundancy. IEEE Trans. Syst. Man Cybern. Part B 38(3): 808-825 (2008) - [c56]Chin Hiong Tan, Ji Hua Ang, Kay Chen Tan, Arthur Tay:
Online adaptive controller for simulated car racing. IEEE Congress on Evolutionary Computation 2008: 2239-2245 - [c55]Ji Hua Ang, Eu Jin Teoh, C. H. Tan, K. C. Goh, Kay Chen Tan:
Dimension reduction using evolutionary Support Vector Machines. IEEE Congress on Evolutionary Computation 2008: 3634-3641 - [c54]Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh:
An investigation on evolutionary gradient search for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 3741-3746 - [c53]Ji Hua Brian Ang, Kay Chen Tan, Abdullah Al Mamun:
A memetic evolutionary search algorithm with variable length chromosome for rule extraction. SMC 2008: 535-540 - [c52]Kay Chen Tan, Chi Keong Goh:
Handling Uncertainties in Evolutionary Multi-Objective Optimization. WCCI 2008: 262-292 - [p4]Chun Yew Cheong, Kay Chen Tan:
A Multi-Objective Multi-Colony Ant Algorithm for Solving the Berth Allocation Problem. Advances of Computational Intelligence in Industrial Systems 2008: 333-350 - [e3]Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi:
Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings. Lecture Notes in Computer Science 5361, Springer 2008, ISBN 978-3-540-89693-7 [contents] - 2007
- [j51]Kay Chen Tan, Chun Yew Cheong, Chi Keong Goh:
Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. Eur. J. Oper. Res. 177(2): 813-839 (2007) - [j50]Kay Chen Tan, Edmund K. Burke, Tong Heng Lee:
Evolutionary and meta-heuristic scheduling. Eur. J. Oper. Res. 177(3): 1852-1854 (2007) - [j49]Kay Chen Tan, Ramasubramanian Sathikannan, Woei Wan Tan, A. P. Loh:
Evolutionary design and implementation of a hard disk drive servo control system. Soft Comput. 11(2): 131-139 (2007) - [j48]Chi Keong Goh, Kay Chen Tan:
An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 11(3): 354-381 (2007) - [j47]Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho:
A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization. IEEE Trans. Syst. Man Cybern. Part B 37(1): 42-50 (2007) - [c51]Chi Keong Goh, Kay Chen Tan, Arthur Tay:
A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization. ISIC 2007: 255-260 - [c50]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
Noise-induced features in robust multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 568-575 - [c49]Chun Yew Cheong, C. J. Lin, Kay Chen Tan, Dikai Liu:
A multi-objective evolutionary algorithm for berth allocation in a container port. IEEE Congress on Evolutionary Computation 2007: 927-934 - [c48]C. H. Tan, Chi Keong Goh, Kay Chen Tan, Arthur Tay:
A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. IEEE Congress on Evolutionary Computation 2007: 3180-3186 - [c47]Lingfeng Wang, Chanan Singh, Kay Chen Tan:
Reliability evaluation of power-generating systems including time-dependent sources based on binary particle swarm optimization. IEEE Congress on Evolutionary Computation 2007: 3346-3352 - [c46]Ngai Ming Kwok, Quang Phuc Ha, Dikai Liu, Gu Fang, Kay Chen Tan:
Efficient particle swarm optimization: a termination condition based on the decision-making approach. IEEE Congress on Evolutionary Computation 2007: 3353-3360 - [c45]D. S. Liu, Kay Chen Tan, Weng Khuen Ho:
A distributed co-evolutionary particle swarm optimization algorithm. IEEE Congress on Evolutionary Computation 2007: 3831-3838 - [c44]Chin Soon Ong, Hanyang Quek, Kay Chen Tan, Arthur Tay:
Discovering Chinese Chess Strategies through Coevolutionary Approaches. CIG 2007: 360-367 - [c43]Chun Yew Cheong, Kay Chen Tan, Bharadwaj Veeravalli:
Solving the Exam Timetabling Problem via a Multi-Objective Evolutionary Algorithm - A More General Approach. CISched 2007: 165-172 - [c42]Kay Chen Tan:
Improving the Efficacy of Multi-objective Evolutionary Algorithms for Real-World Applications (Abstract of Invited Talk). EMO 2007: 2 - [c41]Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun:
Molecular Dynamics Optimizer. EMO 2007: 302-316 - [c40]Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun:
Multiobjective Evolutionary Neural Networks for Time Series Forecasting. EMO 2007: 346-360 - [c39]Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan:
Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. EMO 2007: 893-907 - [p3]Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm. Advances in Evolutionary Computing for System Design 2007: 189-209 - [p2]Chi Keong Goh, Wei Ling Lim, Yong Han Chew, Kay Chen Tan:
A Multi-Objective Evolutionary Algorithm for Channel Routing Problems. Evolutionary Scheduling 2007: 405-436 - [p1]Chi Keong Goh, Kay Chen Tan:
Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 457-478 - [e2]Keshav P. Dahal, Kay Chen Tan, Peter I. Cowling:
Evolutionary Scheduling. Studies in Computational Intelligence 49, Springer 2007, ISBN 978-3-540-48582-7 [contents] - 2006
- [b2]Lingfeng Wang, Kay Chen Tan, Chee-Meng Chew:
Evolutionary Robotics: From Algorithms to Implementations. World Scientific Series in Robotics and Intelligent Systems 28, World Scientific 2006, ISBN 978-981-256-870-0, pp. 1-268 - [j46]Kay Chen Tan, Yoong Han Chew, Loo Hay Lee:
A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows. Comput. Optim. Appl. 34(1): 115-151 (2006) - [j45]Kay Chen Tan, Qiang Yu, Ji Hua Ang:
A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining. Comput. Optim. Appl. 34(2): 273-294 (2006) - [j44]Kay Chen Tan, Chi Keong Goh, Y. J. Yang, Tong Heng Lee:
Evolving better population distribution and exploration in evolutionary multi-objective optimization. Eur. J. Oper. Res. 171(2): 463-495 (2006) - [j43]Kay Chen Tan, Yoong Han Chew, Loo Hay Lee:
A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems. Eur. J. Oper. Res. 172(3): 855-885 (2006) - [j42]Kay Chen Tan, Qiang Yu, Ji Hua Ang:
A coevolutionary algorithm for rules discovery in data mining. Int. J. Syst. Sci. 37(12): 835-864 (2006) - [j41]Kay Chen Tan, Y. J. Yang, Chi Keong Goh:
A distributed Cooperative coevolutionary algorithm for multiobjective optimization. IEEE Trans. Evol. Comput. 10(5): 527-549 (2006) - [j40]Abdullah Al Mamun, L. F. Wang, Kay Chen Tan, H. M. Heng, P. C. Ho:
An automated methodology for the tracking of electrical performance for memory test systems. IEEE Trans. Instrum. Meas. 55(3): 881-891 (2006) - [j39]Huajin Tang, Kay Chen Tan, Eu Jin Teoh:
Dynamics analysis and analog associative memory of networks with LT neurons. IEEE Trans. Neural Networks 17(2): 409-418 (2006) - [j38]Eu Jin Teoh, Kay Chen Tan, Cheng Xiang:
Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. IEEE Trans. Neural Networks 17(6): 1623-1629 (2006) - [c38]Ngai Ming Kwok, Dikai Liu, Kay Chen Tan, Quang Phuc Ha:
An Empirical Study on the Settings of Control Coefficients in Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 823-830 - [c37]Chi Keong Goh, Kay Chen Tan:
Noise Handling in Evolutionary Multi-Objective Optimization. IEEE Congress on Evolutionary Computation 2006: 1354-1361 - [c36]Chun Yew Cheong, Kay Chen Tan, Dikai Liu, Jian-Xin Xu:
A Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Stochastic Demand. IEEE Congress on Evolutionary Computation 2006: 1370-1377 - [c35]Chi Keong Goh, Hanyang Quek, Kay Chen Tan, Hussein A. Abbass:
Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach. IEEE Congress on Evolutionary Computation 2006: 1624-1631 - [c34]Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho:
On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 2095-2102 - [c33]Eu Jin Teoh, Huajin Tang, Kay Chen Tan:
A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. IJCNN 2006: 3254-3259 - [c32]Eu Jin Teoh, Cheng Xiang, Kay Chen Tan:
A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse. ISNN (1) 2006: 530-536 - [c31]Eu Jin Teoh, Cheng Xiang, Kay Chen Tan:
Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. ISNN (1) 2006: 858-865 - 2005
- [b1]Kay Chen Tan, Eik Fun Khor, Tong Heng Lee:
Multiobjective Evolutionary Algorithms and Applications. Advanced Information and Knowledge Processing, Springer 2005, ISBN 978-1-85233-836-7, pp. 1-271 - [j37]Kay Chen Tan, Y. J. Chen, L. F. Wang, Dikai Liu:
Intelligent Sensor Fusion And Learning For Autonomous Robot Navigation. Appl. Artif. Intell. 19(5): 433-456 (2005) - [j36]Eik Fun Khor, Kay Chen Tan, Tong Heng Lee, Chi Keong Goh:
A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization. Artif. Intell. Rev. 23(1): 31-33 (2005) - [j35]Kay Chen Tan, Mingliang Wang, Wei Peng:
A P2P genetic algorithm environment for the internet. Commun. ACM 48(4): 113-116 (2005) - [j34]Woei Wan Tan, Fengwei Lu, Ai Poh Loh, Kay Chen Tan:
Modeling and control of a pilot pH plant using genetic algorithm. Eng. Appl. Artif. Intell. 18(4): 485-494 (2005) - [j33]Huajin Tang, Kay Chen Tan, Weinian Zhang:
Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons. Neural Comput. 17(1): 97-114 (2005) - [j32]Jun Liu, Khiang Wee Lim, Weng Khuen Ho, Kay Chen Tan, Arthur Tay, Rajagopalan Srinivasan:
Using the OPC Standard for Real-Time Process Monitoring and Control. IEEE Softw. 22(6): 54-59 (2005) - [j31]Lingfeng Wang, Kay Chen Tan, X. D. Jiang, Y. B. Chen:
A flexible automatic test system for rotating-turbine machinery. IEEE Trans Autom. Sci. Eng. 2(1): 1-18 (2005) - [j30]Kay Chen Tan, Huajin Tang, Shuzhi Sam Ge:
On parameter settings of Hopfield networks applied to traveling salesman problems. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(5): 994-1002 (2005) - [j29]Kay Chen Tan, Huajin Tang, Weinian Zhang:
Qualitative analysis for recurrent neural networks with linear threshold transfer functions. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(5): 1003-1012 (2005) - [j28]Kay Chen Tan, Y. J. Chen, Kok Kiong Tan, Tong Heng Lee:
Task-oriented developmental learning for humanoid robots. IEEE Trans. Ind. Electron. 52(3): 906-914 (2005) - [j27]Abdullah Al Mamun, Guoxiao Guo, Kay Chen Tan, Yimei Liu:
Digital processing of dual-frequency servo burst in hard disk drives. IEEE Trans. Instrum. Meas. 54(4): 1354-1360 (2005) - [j26]Kay Chen Tan, Qiang Yu, Tong Heng Lee:
A distributed evolutionary classifier for knowledge discovery in data mining. IEEE Trans. Syst. Man Cybern. Part C 35(2): 131-142 (2005) - [c30]Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan:
Adapting evolutionary dynamics of variation for multi-objective optimization. Congress on Evolutionary Computation 2005: 1290-1297 - [c29]Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan:
Evolution and incremental learning in the iterative prisoner's dilemma. Congress on Evolutionary Computation 2005: 2629-2636 - 2004
- [j25]Kay Chen Tan, L. F. Wang, Tong Heng Lee:
Fpga-Based Autonomous Robot Navigation Via Intrinsic Evolution. Appl. Artif. Intell. 18(2): 129-155 (2004) - [j24]Kay Chen Tan, L. F. Wang, Tong Heng Lee, Prahlad Vadakkepat:
Evolvable Hardware in Evolutionary Robotics. Auton. Robots 16(1): 5-21 (2004) - [j23]Kay Chen Tan:
Book Review: The Design of Innovation: Lessons from and for Competent Genetic Algorithms. Genet. Program. Evolvable Mach. 5(1): 107-110 (2004) - [j22]Yun Li, Kiam Heong Ang, Gregory Chow Ye Chong, Wenyuan Feng, Kay Chen Tan, Hiroshi Kashiwagi:
CAutoCSD-evolutionary search and optimisation enabled computer automated control system design. Int. J. Autom. Comput. 1(1): 76-88 (2004) - [j21]