Elite guided steady-state genetic algorithm for minimizing total tardiness in flowshops

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dc.contributor.authorKellegoz, Talip
dc.contributor.authorToklu, Bilal
dc.contributor.authorWilson, John
dc.date.accessioned2020-06-25T17:51:17Z
dc.date.available2020-06-25T17:51:17Z
dc.date.issued2010
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIn this research, a detailed study of the permutation flowshop scheduling problem with the objective of minimizing total tardiness is presented and a steady-state genetic algorithm solution procedure is developed for such problems. Also, using problem-specific knowledge, a very efficient elite guided solution improvement scheme and an appropriate crossover operator have been developed and integrated into the proposed method. Using benchmark problems, the algorithm has been compared with heuristic algorithms having the best performance in the literature. The performance of the developed algorithm is shown to be superior using a simulation study. (C) 2009 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.cie.2009.11.001
dc.identifier.endpage306en_US
dc.identifier.issn0360-8352
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-76349116055
dc.identifier.scopusqualityQ1
dc.identifier.startpage300en_US
dc.identifier.urihttps://doi.org/10.1016/j.cie.2009.11.001
dc.identifier.urihttps://hdl.handle.net/20.500.12587/4778
dc.identifier.volume58en_US
dc.identifier.wosWOS:000275524100013
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofComputers & Industrial Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFlowshop schedulingen_US
dc.subjectSteady-state genetic algorithmsen_US
dc.subjectTotal tardinessen_US
dc.subjectCrossover operatoren_US
dc.subjectImprovement schemeen_US
dc.titleElite guided steady-state genetic algorithm for minimizing total tardiness in flowshopsen_US
dc.typeArticle

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