Technical Reports
- None!
Submitted to Journals
Thesis
Ph.D. Thesis
- None
Master Thesis
- R. Li, Model-driven learning-based memetic algorithms for green distributed flexible job shop scheduling problem, China University of Geosciences, 2023.6.
Journal Publications
---2024---
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R. Li, L. Wang*, W. Gong*, F. Ming, An Evolutionary Multitasking Memetic Algorithm for Multi-objective Distributed Heterogeneous Welding Shop Scheduling, IEEE Transactions on Evolutionary Computation. Accept.(IF=14.4, T1 top) [paper]
---2023---
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R. Li, W. Gong*, L. Wang*, C. Lu, Z. Pan, X. Zhuang Double DQN-based Coevolution For Green Distributed Heterogeneous Hybrid Flowshop Scheduling with Multiple Priorities of Jobs, IEEE Transactions on Automation Science and Engineering. Oct, 2023, Accept (IF=5.6, T2 Top). [paper]
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R. Li, W. Gong*, L. Wang*, C. Lu, C. Dong Co-evolution with Deep Reinforcement Learning For Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling, IEEE Transctions on Systems, Man, and Cybernetics: Systems. Aug, 2023, Accepted (IF=8.7, T1 Top). [paper]
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R. Li, W. Gong*, L. Wang*, C. Lu, X.Zhuang, Surprisingly Popular-based Adaptive Memetic Algorithm for Energy-efficient Distributed Flexible Job Shop Scheduling, IEEE Transctions on Cybernetics. May, 2023. Accepted (IF=11.8, T1 Top).[paper]
---2022---
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R. Li, W. Gong*, C. Lu*, Two-stage knowledge-driven evolutionary algorithm for distributed flexible job shop scheduling problem with type-2 fuzzy processing time, Swarm and Evolutionary Computation. 2022,74,101139.(IF=10, T1).[paper]
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R. Li, W. Gong*, L. Wang, C.Lu, A Learning-based Memetic Algorithm for Energy-Efficient Flexible Job Shop Sc heduling With Type-2 Fuzzy Processing Time, IEEE Transctions on Evolutionary Computation. 2022, 27(3): 610-620. (IF=14.3, T1 Top).[paper]
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R. Li, W. Gong*, C. Lu, A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling, Expert System With Application. 2022, 203, 117380 (IF=8.7, T2). [paper]
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R. Li, W. Gong*, C. Lu, Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time, Computers & Industrial Enginering. 2022, 168, 108099 .(IF=7.9, T2). [paper]
Conference Publications
- None