Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem
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DOI: 10.1007/s10845-023-02227-9
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- Leilei Meng & Chaoyong Zhang & Xinyu Shao & Yaping Ren & Caile Ren, 2019. "Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines," International Journal of Production Research, Taylor & Francis Journals, vol. 57(4), pages 1119-1145, February.
- Chih, Mingchang, 2023. "Stochastic stability analysis of particle swarm optimization with pseudo random number assignment strategy," European Journal of Operational Research, Elsevier, vol. 305(2), pages 562-593.
- Shengluo Yang & Zhigang Xu, 2021. "The distributed assembly permutation flowshop scheduling problem with flexible assembly and batch delivery," International Journal of Production Research, Taylor & Francis Journals, vol. 59(13), pages 4053-4071, July.
- Ivona Brajević & Predrag S. Stanimirović & Shuai Li & Xinwei Cao & Ameer Tamoor Khan & Lev A. Kazakovtsev, 2022. "Hybrid Sine Cosine Algorithm for Solving Engineering Optimization Problems," Mathematics, MDPI, vol. 10(23), pages 1-21, December.
- Taillard, E., 1993. "Benchmarks for basic scheduling problems," European Journal of Operational Research, Elsevier, vol. 64(2), pages 278-285, January.
- Ruiz, Rubén & Pan, Quan-Ke & Naderi, Bahman, 2019. "Iterated Greedy methods for the distributed permutation flowshop scheduling problem," Omega, Elsevier, vol. 83(C), pages 213-222.
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Keywords
Distributed flow-shop scheduling problem; Energy consumption; Q-learning; Particle swarm optimization; Variable neighborhood search;All these keywords.
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