A New Artificial Immune System Algorithm for Multiobjective Fuzzy Flow Shop Problems

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dc.contributor.authorKahraman, Cengiz
dc.contributor.authorEngin, Orhan
dc.contributor.authorYılmaz, Mustafa Kerim
dc.date.accessioned2020-03-26T17:37:44Z
dc.date.available2020-03-26T17:37:44Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problems. A new mutation operator is also described for this AIS. Fuzzy sets are used to model processing times and due dates. The objectives are to minimize the average tardiness and the number of tardy jobs. The developed new AIS algorithm is tested on real world data collected at an engine cylinder liner manufacturing process. The feasibility and effectiveness of the proposed AIS is demonstrated by comparing it with genetic algorithms. Computational results demonstrate that the proposed AIS algorithm is more effective meta-heuristic for multi objective flow shop scheduling problems with fuzzy processing time and due date.en_US
dc.identifier.endpage247en_US
dc.identifier.issn1875-6891en_US
dc.identifier.issn1875-6883en_US
dc.identifier.issue3en_US
dc.identifier.startpage236en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23214
dc.identifier.volume2en_US
dc.identifier.wosWOS:000272257300005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherATLANTIS PRESSen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFuzzy flow shopen_US
dc.subjectnew artificial immune systemen_US
dc.subjectmulti objectiveen_US
dc.subjectengine cylinder liner manufacturing processen_US
dc.titleA New Artificial Immune System Algorithm for Multiobjective Fuzzy Flow Shop Problemsen_US
dc.typeArticleen_US

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