World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
93
Citations
31198
World Ranking
524
National Ranking
72

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2014 - IEEE Fellow For contributions to evolutionary multiobjective optimization

Overview

Kay Chen Tan is affiliated with the Hong Kong Polytechnic University in China. Their research primarily focuses on computer science, with substantial contributions to the subfields of artificial intelligence, computational theory and mathematics, electrical and electronic engineering, cognitive neuroscience, and computer vision and pattern recognition.

The scientist's main topics of work include advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, evolutionary algorithms and applications, advanced memory and neural computing, neural dynamics and brain function, neural networks and reservoir computing, and machine learning and data classification.

Among recent publications, notable papers include:

  • A survey on evolutionary computation for complex continuous optimization, 2021, Artificial Intelligence Review
  • Evolutionary Large-Scale Multi-Objective Optimization: A Survey, 2021, ACM Computing Surveys
  • A Survey on Evolutionary Constrained Multiobjective Optimization, 2022, IEEE Transactions on Evolutionary Computation
  • Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization, 2021, IEEE Transactions on Cybernetics
  • Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks, 2020, IEEE Transactions on Cybernetics

Frequent co-authors in their research include Liang Feng, Jibin Wu, Qiuzhen Lin, Yaochu Jin, and Min Jiang.

The scientist has published extensively in venues such as arXiv (Cornell University), IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Computational Intelligence Magazine.

They have also contributed to book publications, notably with Springer Nature, including the book Evolutionary Multi-Task Optimization published in 2023.

Kay Chen Tan was awarded the IEEE Fellow distinction in 2014 for contributions to evolutionary multiobjective optimization.

Best Publications

  • Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

    Chong Zhang;Pin Lim;A. K. Qin;Kay Chen Tan

  • A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization

    Chi-Keong Goh;Kay Chen Tan

  • A Multi-Facet Survey on Memetic Computation

    Xianshun Chen;Yew-Soon Ong;Meng-Hiot Lim;Kay Chen Tan

  • Heuristic methods for vehicle routing problem with time windows

    K.C Tan;L.H Lee;Q.L Zhu;K Ou

  • A Generic Deep-Learning-Based Approach for Automated Surface Inspection

    Ruoxu Ren;Terence Hung;Kay Chen Tan

  • Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons

    K. C. Tan;T. H. Lee;E. F. Khor

  • Evolutionary artificial potential fields and their application in real time robot path planning

    P. Vadakkepat;Kay Chen Tan;Wang Ming-Liang

  • A Survey on Evolutionary Neural Architecture Search.

    Yuqiao Liu;Yanan Sun;Bing Xue;Mengjie Zhang

  • Multiobjective Multifactorial Optimization in Evolutionary Multitasking

    Abhishek Gupta;Yew-Soon Ong;Liang Feng;Kay Chen Tan

  • Multiobjective Evolutionary Algorithms and Applications

    Kay Chen Tan;Tong Heng Lee;k-c-tan;Eik Fun Khor

  • A Survey on Evolutionary Constrained Multiobjective Optimization

    Unknown

  • Evolutionary Multitasking via Explicit Autoencoding

    Liang Feng;Lei Zhou;Jinghui Zhong;Abhishek Gupta

  • A survey on evolutionary computation for complex continuous optimization

    Zhi-Hui Zhan;Lin Shi;Kay Chen Tan;Jun Zhang;Jun Zhang

  • Evolutionary Large-Scale Multi-Objective Optimization: A Survey

    Ye Tian;Langchun Si;Xingyi Zhang;Ran Cheng

  • Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization

    K.C. Tan;T.H. Lee;E.F. Khor

  • Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization.

    Ye Tian;Yajie Zhang;Yansen Su;Xingyi Zhang

  • 2015 IEEE Symposium Series on Computational Intelligence

    Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang

  • A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization

    Dasheng Liu;K.C. Tan;C.K. Goh;W.K. Ho

  • A distributed Cooperative coevolutionary algorithm for multiobjective optimization

    K.C. Tan;Y.J. Yang;C.K. Goh

  • A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design

    Chi Keong Goh;Kay Chen Tan;D. S. Liu;Swee Chiang Chiam

  • A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems

    Kay Chen Tan;Yoong Han Chew;Loo Hay Lee

  • Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming

    Su Nguyen;Mengjie Zhang;Mark Johnston;Kay Chen Tan

  • Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation

    Kay Chen Tan;Chun Yew Cheong;Chi Keong Goh

  • Enhancing the firm's performance through quality and supply base management: An empirical study

    Keah-Choon Tan;Robert B. Handfield;D. R. Krause

  • A multiobjective evolutionary algorithm for solving vehicle routing problem with time windows

    K.C. Tan;T.H. Lee;Y.H. Chew;L.H. Lee

Frequent Co-Authors

Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Mengjie Zhang
Mengjie Zhang Victoria University of Wellington
Hussein A. Abbass
Hussein A. Abbass University of New South Wales
Tong Heng Lee
Tong Heng Lee National University of Singapore
Zhang Yi
Zhang Yi Sichuan University
Yun Li
Yun Li University of Electronic Science and Technology of China
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Jian-Xin Xu
Jian-Xin Xu National University of Singapore
Loo Hay Lee
Loo Hay Lee National University of Singapore
Liang Feng
Liang Feng Chongqing University

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