1.Exact and Deep Q-Network Assisted Swarm Intelligence Methods for Scheduling Multi-Objective Heterogeneous Unmanned Surface Vehicles

Yu, Hui, Gao, Kaizho     More...

Yu, Hui, Gao, Kaizhou, Ma, Zhenfang, Wang, Ling     Less

IEEE Transactions on Evolutionary Computation[1089-778X], Published 2024, Volume 29, Issue 5, Pages 1783-1794

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WOS核心合集引用: 14  2024影響因子:  12.0  发表年影響因子:  12.0 

2.Imitation Learning-Assisted Evolutionary Algorithm for Energy-Efficient Flexible Job Shop Scheduling Problem With Automated Guided Vehicles

Cheng, Weiyao, Meng,     More...

Cheng, Weiyao, Meng, Leilei, Zhang, Biao, Gao, Kaizhou, Sang, Hongyan     Less

IEEE Transactions on Evolutionary Computation[1089-778X], Published 2025,

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2024影響因子:  12.0 

3.Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multi-Task Optimization Framework and Genetic Programming

Chen, Xiaolong, Li,     More...

Chen, Xiaolong, Li, Junqing, Wang, Zunxun, Chen, Qingda, Gao, Kaizhou, Pan, Quanke     Less

IEEE Transactions on Evolutionary Computation[1089-778X], Published 2025, Volume 29, Issue 5, Pages 1502-1516

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WOS核心合集引用: 20  2024影響因子:  12.0 

4.Binary-to-Decimal Encoding-Based Performance Predictor for Evolutionary Graph Fusion Architecture Search and Applications to Medical Data

Mei, Aohan, Li, Nan,     More...

Mei, Aohan, Li, Nan, Ma, Lianbo, Gao, Kaizhou, Huang, Min, Xue, Bing, Jin, Yaochu     Less

IEEE Transactions on Evolutionary Computation[1089-778X], Published 2025,

收錄情况： SCOPUS

2024影響因子:  12.0