Biased random-key genetic algorithm for scheduling identical parallel machines with tooling constraints.

dc.contributor.authorSoares, Leonardo Cabral da Rocha
dc.contributor.authorCarvalho, Marco Antonio Moreira de
dc.date.accessioned2022-02-08T18:45:50Z
dc.date.available2022-02-08T18:45:50Z
dc.date.issued2020pt_BR
dc.description.abstractWe address the problem of scheduling a set of n jobs on m parallel machines, with the objective of minimizing the makespan in a flexible manufacturing system. In this context, each job takes the same processing time in any machine. However, jobs have different tooling requirements, implying that setup times depend on all jobs previously scheduled on the same machine, owing to tool configurations. In this study, this N P-hard problem is addressed using a parallel biased random-key genetic algorithm hybridized with local search procedures organized using variable neighborhood descent. The proposed genetic algorithm is compared with the state-of-the-art methods considering 2,880 benchmark instances from the literature reddivided into two sets. For the set of small instances, the proposed method is compared with a mathematical model and better or equal results for 99.86% of instances are presented. For the set of large instances, the proposed method is compared to a metaheuristic and new best solutions are presented for 93.89% of the instances. In addition, the proposed method is 96.50% faster than the compared metaheuristic, thus comprehensively outperforming the current state-of-the-art methods.pt_BR
dc.identifier.citationSOARES, L. C. da R.; CARVALHO, M. A. M. de. Biased random-key genetic algorithm for scheduling identical parallel machines with tooling constraints. European Journal of Operational Research, v. 285, p. 955-964, 2020. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0377221720301995>. Acesso em: 25 ago. 2021.pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.ejor.2020.02.047pt_BR
dc.identifier.issn0377-2217
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/14464
dc.identifier.uri2https://www.sciencedirect.com/science/article/abs/pii/S0377221720301995pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectCombinatorial optimizationpt_BR
dc.subjectFlexible manufacturing systemspt_BR
dc.subjectMetaheuristicspt_BR
dc.titleBiased random-key genetic algorithm for scheduling identical parallel machines with tooling constraints.pt_BR
dc.typeArtigo publicado em periodicopt_BR

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