A survey on evolutionary computation for complex continuous optimization
2021 · Artificial Intelligence Review · 367 citations
https://doi.org/10.1007/s10462-021-10042-y
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Kay Chen Tan
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Kay Chen Tan is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Metaheuristic Optimization Algorithms Research & Advanced Multi-Objective Optimization Algorithms & Evolutionary Algorithms and Applications. The author has an h-index of 93, co-authored 736 publications.
ORCID: 0000-0002-6802-2463Papers by this author
worksEvolutionary Large-Scale Multi-Objective Optimization: A Survey
2021 · ACM Computing Surveys · 356 citations
https://doi.org/10.1145/3470971
Evolutionary artificial potential fields and their application in real time robot path planning
2002 · 339 citations
https://doi.org/10.1109/cec.2000.870304
Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction
2015 · IEEE Transactions on Cybernetics · 294 citations
https://doi.org/10.1109/tcyb.2015.2490738
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
2018 · IEEE Transactions on Neural Networks and Learning Systems · 275 citations
https://doi.org/10.1109/tnnls.2018.2832648
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization
2022 · IEEE Transactions on Evolutionary Computation · 202 citations
https://doi.org/10.1109/tevc.2022.3175065
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