Genetic algorithm representation types for a two-stage supply chain distribution problem

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dc.contributor.authorDosdogru, A.T.
dc.contributor.authorGeyik, F.
dc.contributor.authorGöçken, M.
dc.date.accessioned2025-01-06T17:29:56Z
dc.date.available2025-01-06T17:29:56Z
dc.date.issued2014
dc.descriptionComputer and Industrial Engineering; et al.; Gaziantep University; Istanbul Commercial University; Journal of Intelligent Manufacturing Systems; Sakarya University, Department of Industrial Engineering
dc.descriptionJoint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2014 -- 14 October 2014 through 16 October 2014 -- Istanbul -- 110500
dc.description.abstractThis paper handles representation types of genetic algorithm for a two-stage supply chain distribution problem. In this respect, three representation types are selected, namely priority-based, permutation and matrix representation. Genetic algorithm is designed for all representation types by considering a two-stage supply chain distribution problem. The objective function is selected as total distribution cost with fixed charges. Twenty problems are selected from literature to compare representation types. Each problem is solved by using genetic algorithms considering representation types and performances of algorithms are compared. Computational results showed that priority-based representation and permutation representation are more efficient than the matrix representation in terms of computational times.
dc.identifier.endpage394
dc.identifier.scopus2-s2.0-84923873783
dc.identifier.startpage383
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1409
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherComputers and Industrial Engineering
dc.relation.ispartofCIE 2014 - 44th International Conference on Computers and Industrial Engineering and IMSS 2014 - 9th International Symposium on Intelligent Manufacturing and Service Systems, Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectGenetic algorithm
dc.subjectRepresentation
dc.subjectTwo-stage supply chain distribution problem
dc.titleGenetic algorithm representation types for a two-stage supply chain distribution problem
dc.typeConference Object

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