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dc.contributor.authorKeskinturk, TİMUR
dc.date.accessioned2021-03-02T21:42:36Z
dc.date.available2021-03-02T21:42:36Z
dc.identifier.citationKeskinturk T., "The Differential Evolution Algorithm for the Travelling Salesman Problem with Time Windows", International Conference on Social Science and Health (ICSSH 2013), Los-Angeles, Şili, 30 Ocak 2012 - 31 Ocak 2013, cilt.19, ss.31-35
dc.identifier.otherav_0874a00a-d111-420b-bf6c-754027a614a8
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/11518
dc.identifier.urihttps://avesis.istanbul.edu.tr/api/publication/0874a00a-d111-420b-bf6c-754027a614a8/file
dc.description.abstractIn this paper we studythe differential evolution algorithm meta-heuristic to solve the travelling salesman problem with time windows. To create an initial population of the problem we use time windows. For every costumer we generate a random number in those time intervals. These time variables represent the visiting time of the related costumer. Our results for the benchmark problems show that with this initial population process and differential evolution algorithm that it could be a good alternative for the travelling salesman problem with time windows. In addition to describing the method, the experimental results of the benchmark test problems are presented.
dc.language.isoeng
dc.subjectEğitim
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectSosyoloji
dc.subjectSOSYAL BİLİMLER, İNTERDİSİPLİNER
dc.subjectSosyal Bilimler (SOC)
dc.subjectSosyal Bilimler Genel
dc.subjectEĞİTİM VE EĞİTİM ARAŞTIRMASI
dc.titleThe Differential Evolution Algorithm for the Travelling Salesman Problem with Time Windows
dc.typeBildiri
dc.contributor.departmentİstanbul Üniversitesi , İşletme Fakültesi , İşletme
dc.identifier.volume19
dc.contributor.firstauthorID74364


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