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publications

A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time

Published in IEEE Transactions on Evolutionary Computation, 2022

This paper proposed a parameter learning method for MOEA/D.

Recommended citation: @ARTICLE{9776510, author={Li, Rui and Gong, Wenyin and Lu, Chao and Wang, Ling}, journal={IEEE Transactions on Evolutionary Computation}, title={A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time}, year={2023}, volume={27}, number={3}, pages={610-620}, doi={10.1109/TEVC.2022.3175832}}
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Surprisingly Popular-based Adaptive Memetic Algorithm for Energy-efficient Distributed Flexible Job Shop Scheduling

Published in IEEE Transactions on Cybernetics , 2023

This paper adopted Surprisingly Popular Algorithm for NSGA-II for Distributed FJSP.

Recommended citation: @ARTICLE{LR2023TCYB, author={Li, Rui and Gong, Wenyin and Wang, Ling and Lu, Chao and Zhuang, Xinying}, journal={IEEE Transactions on Cybernetics}, title={Surprisingly Popular-Based Adaptive Memetic Algorithm for Energy-Efficient Distributed Flexible Job Shop Scheduling}, year={2023}, volume={53}, number={12}, pages={8013-8023}, doi={10.1109/TCYB.2023.3280175}}
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Co-evolution with Deep Reinforcement Learning For Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling

Published in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023

This paper adopted DQN for operator selection for MA for Distributed FJSP.

Recommended citation: @ARTICLE{LR2023TSMCS, author={Li, Rui and Gong, Wenyin and Wang, Ling and Lu, Chao and Dong, Chenxin}, journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems}, title={Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling}, year={2024}, volume={54}, number={1}, pages={201-211}, doi={10.1109/TSMC.2023.3305541}}
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Double DQN-based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling with Multiple Priorities of Jobs

Published in IEEE Transactions on Automation Science and Engineering, 2023

This paper Double DQN for operator selection for MA for Distributed HFSP with Job Priority.

Recommended citation: @ARTICLE{LR2023TASE, author={Li, Rui and Gong, Wenyin and Wang, Ling and Lu, Chao and Pan, Zixiao and Zhuang, Xinying}, journal={IEEE Transactions on Automation Science and Engineering}, title={Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs}, year={2024}, volume={21}, number={4}, pages={6550-6562}, doi={10.1109/TASE.2023.3327792}}
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Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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An Evolutionary Multitasking Memetic Algorithm for Multi-objective Distributed Heterogeneous Welding Shop Scheduling

Published in IEEE Transactions on Evolutionary Computation, 2024

This paper proposed an evolutionary multitasking MA for Distributed Welding Shop Scheduling.

Recommended citation: @ARTICLE{LR2024TEVC, author={Li, Rui and Wang, Ling and Gong, Wenyin and Ming, Fei}, journal={IEEE Transactions on Evolutionary Computation}, title={An Evolutionary Multitasking Memetic Algorithm for Multi-Objective Distributed Heterogeneous Welding Flow Shop Scheduling}, year={2024}, pages={1-1} doi={10.1109/TEVC.2024.3393620}}
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LLM-assitted Automatic Memetic Algorithm for Lot-streaming Hybrid Job Shop Scheduling with Variable Sublots

Published in IEEE Transactions on Evolutionary Computation, 2025

This paper proposed an Automatic Memetic Algorithm framework for Complex Shop Scheduling. The framework is assisted by LLM and adopts coevolution to design local search operator.

Recommended citation: @ARTICLE{LR2025TEVC, author={Li, Rui and Wang, Ling and Sang, Hongyan and Yao, Lizhong and Pan, Lijun}, journal={IEEE Transactions on Evolutionary Computation}, title={LLM-Assisted Automatic Memetic Algorithm for Lot-Streaming Hybrid Job Shop Scheduling With Variable Sublots}, year={2025}, pages={1-1}, doi={10.1109/TEVC.2025.3556186}}
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Knowledge-guided Multi-View Hierarchical Evolutionary Algorithm for Flexible Job Shop Scheduling with Finite Skilled Workers

Published in IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2025

This paper proposed a Knowledge-guided Multi-View Memetic Algorithm for Flexible Welding Shop Scheduling with Finite Workers. The KMA considers that copy the information from critical path of global best solution can enhance convergece. A factor is adopted to control the rate of utilizing knowledge or randomness to balance convergence and diversity. Due to the constraints of machine and worker, a local search utilizing both worker and machine views gantt chart is proposed.

Recommended citation: None
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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015