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dc.contributor.authorSayoti, Fatima
dc.contributor.authorEssaid Riffi, Mohammed
dc.date2016-09
dc.date.accessioned2021-07-07T09:38:36Z
dc.date.available2021-07-07T09:38:36Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11567
dc.description.abstractThe Flow Shop Scheduling Problem (FSSP) is notoriously NP-hard combinatorial optimization problem. The goal is to find a schedule that minimizes the makespan. This paper proposes an adaptation of a new approach called Golden Ball Algorithm (GBA). The proposed algorithm has been never tested with FSSP; it’s based on soccer concept to obtain the optimal solution. Numerical results are presented for 22 instances of OR- Library. The computational results indicate that this approach is practical for small OR-Library instances.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 4, nº 1
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/2521es_ES
dc.rightsopenAccesses_ES
dc.subjectmakespanes_ES
dc.subjectschedulinges_ES
dc.subjectflow shopes_ES
dc.subjectcombinatorial optimizationes_ES
dc.subjectgolden ball algorithmes_ES
dc.subjectIJIMAIes_ES
dc.titleGolden Ball Algorithm for solving Flow Shop Scheduling Problemes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2016.413


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