A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths
2021 · Journal of Manufacturing Systems · 106 citations
https://doi.org/10.1016/j.jmsy.2021.05.018
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Jiaxin Fan
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25
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766
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13
h-index
17
i10-index
Jiaxin Fan is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Scheduling and Optimization Algorithms & Advanced Manufacturing and Logistics Optimization & Assembly Line Balancing Optimization. The author has an h-index of 13, co-authored 22 publications.
ORCID: 0000-0003-4887-5378Papers by this author
worksA DRL-Based Reactive Scheduling Policy for Flexible Job Shops With Random Job Arrivals
2023 · IEEE Transactions on Automation Science and Engineering · 80 citations
https://doi.org/10.1109/tase.2023.3271666
Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems
2022 · Journal of the Operational Research Society · 10 citations
https://doi.org/10.1080/01605682.2022.2122738
Deep reinforcement learning for job shop scheduling problems: A comprehensive literature review
2025 · Knowledge-Based Systems · 8 citations
https://doi.org/10.1016/j.knosys.2025.113633
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