Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer
2022 · IEEE Transactions on Evolutionary Computation · 121 citations
https://doi.org/10.1109/tevc.2022.3230822
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Fei Ming
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Fei Ming is an academic researcher from China University of Geosciences. The author has contributed to research in topics: Advanced Multi-Objective Optimization Algorithms & Metaheuristic Optimization Algorithms Research & Evolutionary Algorithms and Applications. The author has an h-index of 20, co-authored 36 publications.
ORCID: 0000-0003-1042-8206Papers by this author
worksConstrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection
2024 · IEEE/CAA Journal of Automatica Sinica · 74 citations
https://doi.org/10.1109/jas.2023.123687
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
2024 · Swarm and Evolutionary Computation · 57 citations
https://doi.org/10.1016/j.swevo.2024.101497
Constrained multimodal multi-objective optimization: Test problem construction and algorithm design
2022 · Swarm and Evolutionary Computation · 45 citations
https://doi.org/10.1016/j.swevo.2022.101209
MToP: A MATLAB Benchmarking Platform for Evolutionary Multitasking
2023 · arXiv (Cornell University) · 10 citations
https://doi.org/10.48550/arxiv.2312.08134
Multiform-based evolutionary framework for large-scale constrained multi-objective optimization
2025 · Egyptian Informatics Journal · 0 citations
https://doi.org/10.1016/j.eij.2025.100854
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