A hybrid scatter search method for solving fuzzy no-wait flow-shop scheduling problems

dc.authorid0000-0001-5416-4914
dc.authorid0000-0002-7250-0317
dc.contributor.authorBaşar, Ramazan
dc.contributor.authorEngin, Orhan
dc.date.accessioned2024-07-25T11:39:54Z
dc.date.available2024-07-25T11:39:54Z
dc.date.issued2024
dc.departmentMühendislik Fakültesi
dc.description.abstractThe literature published since the year 2000 was reviewed regarding the no-wait flow-shop scheduling (No-WFSS) problem. The No-WFSS problem with separate set-up times and fuzzy due dates is addressed to maximize the customer satisfaction index. A scatter search algorithm (SSA) is proposed, hybridized by some operators. The proposed SSA was first used for solving the considered fuzzy no-wait flow-shop scheduling with set-up time (FNo-WFSSWST) problem. Parameters were calibrated using 192 No-WFSS benchmark instances. The proposed SSA was compared with the genetic heuristic, adaptive learning approach, and hybrid ant colony optimization methods from the literature, showing significant performance improvements. It is concluded that the proposed algorithm is an efficient method for solving FNo-WFSSWST problems.
dc.identifier.doi10.1080/0305215X.2024.2367600
dc.identifier.issn0305-215X
dc.identifier.scopusqualityQ1
dc.identifier.urihttps:/dx.doi.org/10.1080/0305215X.2024.2367600
dc.identifier.urihttps://hdl.handle.net/20.500.12451/12225
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectFlow-shop Scheduling
dc.subjectFuzzy
dc.subjectNo-wait
dc.subjectScatter Search Algorithm
dc.subjectScatter Search Algorithm
dc.subjectCustomer Satisfaction Dex
dc.titleA hybrid scatter search method for solving fuzzy no-wait flow-shop scheduling problems
dc.typeArticle

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