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[2] | Yang Wang, Ya-Hui Jia, Wei-Neng Chen, and Yi Mei. Soft parameter sharing model for cross-problem generalization in vehicle routing problems. IEEE Transactions on Artificial Intelligence, jun 2025. [ bib | DOI ] |
[3] | Meng Xu, Yi Mei, Fangfang Zhang, Yew Soon Ong, and Mengjie Zhang. Pareto set learning through genetic programming for multi-objective dynamic scheduling. IEEE Transactions on Evolutionary Computation, may 2025. [ bib | DOI ] |
[4] | Binzi Xu, Xinyu Cao, Shuwen Zhang, Jiangping Shen, Chaohua Wang, Songhua Wang, Dengchao Huang, Chun Wang, Yi Mei, and Yan Wang. Terminal normalization in genetic programming for dynamic flexible job shop scheduling. Swarm and Evolutionary Computation, 96:101970, 2025. [ bib | DOI ] |
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[7] | Xingsi Xue, Yi Mei, Baozhong Zhao, and Mengjie Zhang. Adaptive similarity feature construction for ontology matching via multi-layer hybrid genetic programming. IEEE Transactions on Evolutionary Computation, mar 2025. [ bib | DOI ] |
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[10] | Fangfang Zhang, Mazhar Ansari Ardeh, Yi Mei, and Mengjie Zhang. Genetic programming with tabu list for dynamic flexible job shop scheduling. Evolutionary Computation, jan 2025. [ bib | DOI ] |
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[20] | Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. Niching genetic programming to learn actions for deep reinforcement learning in dynamic flexible scheduling. IEEE Transactions on Evolutionary Computation, apr 2024. [ bib | DOI ] |
[21] | Zaixing Sun, Yi Mei, Fangfang Zhang, Chonglin Gu, Hejiao Huang, and Mengjie Zhang. Multi-tree genetic programming hyper-heuristic for dynamic flexible workflow scheduling in multi-clouds. IEEE Transactions on Services Computing, 17(5):2687--2703, 2024. [ bib | DOI ] |
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