Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application

This paper presents Outranking-based Particle Swarm Optimisation (O-PSO) a novel metaheuristic to address the multi-objective Unrelated Parallel Machine Scheduling Problem. It is a particle swarm optimisation algorithm enriched with the preferences of the Decision Maker (DM), articulated in a fuzzy...

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書誌詳細
第一著者:	Rivera Zarate, Gilberto
その他の著者:	Florencia, Rogelio, Sánchez Solís, Julia Patricia, García, Vicente
フォーマット:	Artículo
言語:	English
出版事項:	2021
主題:	Swarm intelligence Multi-objective optimisation Fuzzy outranking Unrelated parallel machine scheduling Particle swarm optimisation info:eu-repo/classification/cti/7
オンライン･アクセス:	https://doi.org/10.1016/j.engappai.2021.104556 https://www.sciencedirect.com/science/article/abs/pii/S0952197621003985
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Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application

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