Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm
2018 · IEEE Transactions on Cybernetics · 294 citations
https://doi.org/10.1109/tcyb.2018.2817240
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Quan-Ke Pan
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Quan-Ke Pan is an academic researcher from Shanghai University. 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 87, co-authored 307 publications.
ORCID: 0000-0002-5022-7946Papers by this author
worksA multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
2018 · Applied Soft Computing · 160 citations
https://doi.org/10.1016/j.asoc.2018.11.043
An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop
2018 · IEEE Transactions on Systems Man and Cybernetics Systems · 129 citations
https://doi.org/10.1109/tsmc.2018.2881686
A hybrid discrete particle swarm optimization algorithm for the no-wait flow shop scheduling problem with makespan criterion
2007 · The International Journal of Advanced Manufacturing Technology · 91 citations
https://doi.org/10.1007/s00170-007-1099-4
An effective multi-objective evolutionary algorithm for solving the AGV scheduling problem with pickup and delivery
2021 · Knowledge-Based Systems · 63 citations
https://doi.org/10.1016/j.knosys.2021.106881
An Effective Multi-Objective Artificial Bee Colony Algorithm for Energy Efficient Distributed Job Shop Scheduling
2019 · Procedia Manufacturing · 31 citations
https://doi.org/10.1016/j.promfg.2020.01.350
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