An improved bi-objective salp swarm algorithm based on decomposition for green scheduling in flexible manufacturing cellular environments with multiple automated guided vehicles
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09016-9.pdf
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2. Barshandeh S, Dana R, Eskandarian P (2022) A learning automata-based hybrid mpa and js algorithm for numerical optimization problems and its application on data clustering. Knowledge-Based Syst 236:42. https://doi.org/10.1016/j.knosys.2021.107682
3. Bechtsis D, Tsolakis N, Vlachos D, Iakovou E (2017) Sustainable supply chain management in the digitalisation era: the impact of automated guided vehicles. J Clean Prod 142:3970–3984. https://doi.org/10.1016/j.jclepro.2016.10.057
4. Chou YL, Yang JM, Wu CH (2020) An energy-aware scheduling algorithm under maximum power consumption constraints. J Manuf Syst 57:182–197. https://doi.org/10.1016/j.jmsy.2020.09.004
5. Chutima P, Arayikanon K (2020) Many-objective low-cost airline cockpit crew rostering optimisation. Comput Ind Eng 150:12. https://doi.org/10.1016/j.cie.2020.106844
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