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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第一著者: | Rivera Zarate, Gilberto |
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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
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主題: | |
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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