Rui Li

Rui Li

Ph.D Student of DA in Tsinghua Univeristy

Publications

Selected Journal Articles

Reinforcement and Statistical Learning-assisted Evolutionary Algorithm for Space-limited Aircraft Assembly Scheduling Problem

Published in IEEE Transactions on Automation Science and Engineering, 2025

This paper studied aircraft assembly scheduling problem and proposed RL and statistical learning-based EA. The main contribution is combine RL and SL for EA, and designed an encoding and decoding method for representing the problem. The results on 520 benchmark and 3 real-world cases are compeititve.

Recommended citation: @ARTICLE{11303241,author={Li, Rui and Wang, Ling and Sang, Hongyan and Du, Yonghao and Yao, Lizhong},journal={IEEE Transactions on Automation Science and Engineering}, title={Reinforcement and Statistical Learning-assisted Evolutionary Algorithm for Space-limited Aircraft Assembly Scheduling Problem}, year={2025},volume={},number={},pages={1-1},doi={10.1109/TASE.2025.3645403}}
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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: @ARTICLE{11079302,author={Li, Rui and Wang, Ling and Sang, Hongyan and Yao, Lizhong},journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems}, title={Knowledge-Guided Multiview Hierarchical Evolutionary Algorithm for Flexible Job Shop Scheduling With Finite Skilled Workers}, year={2025},volume={55},number={10},pages={7259-7272},doi={10.1109/TSMC.2025.3583207}}
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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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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{10508554,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 Multiobjective Distributed Heterogeneous Welding Flow Shop Scheduling}, year={2025}, volume={29}, number={6}, pages={2287-2298},doi={10.1109/TEVC.2024.3393620}}
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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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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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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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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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Selected Conference Papers

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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You can also find my articles on my Google Scholar profile.

Thesis

Ph.D. Thesis

  1. None

Master Thesis

  1. R. Li, Model-driven learning-based memetic algorithms for green distributed flexible job shop scheduling problem, China University of Geosciences, 2023.6.

Journal Publications

---2025---

  1. R. Li, L. Wang*, H. Sang, L. Yao, Reinforcement and Statistical Learning-assisted Evolutionary Algorithm for Capacity-limited Aircraft Assembly Scheduling Problem. IEEE Transactions on Automation Science and Engineering. Sep, 2025, Conditionally Accept.
  2. R. Li, L. Wang*, H. Sang, L. Yao, Knowledge-guided Multi-View Hierarchical Evolutionary Algorithm for Flexible Job Shop Scheduling with Finite Skilled Workers. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025, Jun 22, Accepted.
  3. R. Li, L. Wang*, H. Sang, L. Yao, LLM-assitted Automatic Memetic Algorithm for Lot-streaming Hybrid Job Shop Scheduling with Variable Sublots. IEEE Transactions on Evolutionary Computation 2025, DOI: 10.1109/TEVC.2025.3556186

---2024---

  1. 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. 2024, DOI:10.1109/TEVC.2024.3393620. [paper]

---2023---

  1. 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 [paper]
  2. 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 . [paper]
  3. 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 .[paper]

---2022---

  1. 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..[paper]
  2. 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. .[paper]
  3. 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 . [paper]
  4. 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 . [paper]

Conference Publications

  1. None

Cooperative Publications

  1. J. Du, L. Wang, R. Li, An Enhanced Policy-based Reinforcement Learning with Hierarchical Reward for Dynamic No-Wait Permutation Flowshop Scheduling, IEEE Transactions on Emerging Topics in Computational Intelligence. 2025, Accepted.
  2. L. Yao, L. Zhang, L. Wang, R. Li, H. Luo, A Spatio-Temporal Data-Driven Framework for Acoustic Signal-Based Natural Gas Pipeline Leak Detection, IEEE Transactions on Instrumentation & Measurement. 2025/02, DOI: 10.1109/TIM.2025.3556201
  3. L. Yao, Y. Zhang, L. Wang, R. Li, T. He, Natural Gas Pipeline Leak Detection Based on Dual Feature Drift in Acoustic Signals, IEEE Transactions on Industrial Informatics. 2024, DOI: 10.1109/TII.2024.3495787.
  4. L. Yao, X. Zong, L. Wang, R. Li, J. Yi, Explicit Evolutionary Framework With Multitasking Feature Fusion for Optimizing Operational Parameters in Aluminum Electrolysis Process, IEEE Transactions on Cybernetics. 2024, 54(12), 7527 - 7540.
  5. Z. Pan, L. Wang, J. Wang, Y. Yu, R. Li, Distributed Energy-Efficient Flexible Manufacturing With Assembly and Transportation: A Knowledge-Based Bi-Hierarchical Optimization Approach, IEEE Transactions on Automation Science and Engineering . 2024, DOI: 10.1109/TASE.2024.3396474.