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dc.contributor.authorKİREMİTCİ, Serap
dc.contributor.authorAkyurt, Ibrahim Zeki
dc.date.accessioned2021-03-04T12:27:17Z
dc.date.available2021-03-04T12:27:17Z
dc.date.issued2012
dc.identifier.citationKİREMİTCİ S., Akyurt I. Z. , "Genetic algorithm for distance balancing in set partitioning problems", ISTANBUL UNIVERSITY JOURNAL OF THE SCHOOL OF BUSINESS, cilt.41, sa.1, ss.47-61, 2012
dc.identifier.othervv_1032021
dc.identifier.otherav_775f66ac-81f2-4100-808e-7e63788029b4
dc.identifier.urihttp://hdl.handle.net/20.500.12627/81953
dc.description.abstractIn this study balancing is taken into consideration in the formation of groups according to the total travel distance as a set partitioning problem (SPP). Fitness functions that can test imbalance are proposed and mathematical models including these fitness functions are presented. In order to make balanced groupings, four different fitness functions are used. The first model aims to minimize total travel distance. The other two models are used for balancing and the last one constitutes a precedent as a multi-objective decision making problem. Genetic Algorithms (GAs) which is a meta-heuristic technique is used for the solution of the proposed models. Data is taken from the study of Akyurt et al. [1] and is used to balance groups in Football Leagues. Different groups are formed according to these models; effects of the results are examined among themselves and compared with the current situation. Additionally, all results are displayed on the maps.
dc.language.isoeng
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectÇalışma Ekonomisi
dc.subjectÇalışma Ekonomisi ve Endüstri ilişkileri
dc.subjectSosyal Bilimler (SOC)
dc.subjectEkonomi ve İş
dc.subjectİŞ FİNANSI
dc.titleGenetic algorithm for distance balancing in set partitioning problems
dc.typeMakale
dc.relation.journalISTANBUL UNIVERSITY JOURNAL OF THE SCHOOL OF BUSINESS
dc.contributor.departmentİstanbul Üniversitesi , Ulaştırma Ve Lojistik Fakültesi , Ulaştırma Ve Lojistik Bölümü
dc.identifier.volume41
dc.identifier.issue1
dc.identifier.startpage47
dc.identifier.endpage61
dc.contributor.firstauthorID2199897


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