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dc.contributor.authorWu, Tai-Hsien_US
dc.contributor.authorChung, Shu-Hsingen_US
dc.contributor.authorChang, Chin-Chihen_US
dc.date.accessioned2014-12-08T15:09:51Z-
dc.date.available2014-12-08T15:09:51Z-
dc.date.issued2009-03-01en_US
dc.identifier.issn0957-4174en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.eswa.2008.02.060en_US
dc.identifier.urihttp://hdl.handle.net/11536/7547-
dc.description.abstractIn this study, a hybrid simulated annealing algorithm with mutation operator is proposed to solve the manufacturing cell formation problem considering multiple process routings for parts, so that either the intercellular movements are minimized or the grouping efficacy is maximized, depending on the definition of the decision objective. The proposed algorithm is designed mainly to explore solution regions efficiently and to expedite the solution search process. The performance of the proposed algorithm is tested by a range of test problems, some of which are from the literature and some of which are generated within this study. The comparative study shows that the proposed algorithm improves the best results found in the literature for 28.6% of the test problems and the percentages of improvement are even higher than 18% in several test instances. (C) 2008 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectCell formation problem with alternative routingsen_US
dc.subjectGeneralized GTen_US
dc.subjectHybrid simulated annealing algorithmen_US
dc.titleHybrid simulated annealing algorithm with mutation operator to the cell formation problem with alternative process routingsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.eswa.2008.02.060en_US
dc.identifier.journalEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.citation.volume36en_US
dc.citation.issue2en_US
dc.citation.spage3652en_US
dc.citation.epage3661en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000262178100112-
dc.citation.woscount21-
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