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dc.contributor.authorYagmahan, Betul
dc.contributor.authorYenisey, Mehmet Mutlu
dc.date.accessioned2021-03-05T20:39:18Z
dc.date.available2021-03-05T20:39:18Z
dc.date.issued2008
dc.identifier.citationYagmahan B., Yenisey M. M. , "Ant colony optimization for multi-objective flow shop scheduling problem", COMPUTERS & INDUSTRIAL ENGINEERING, cilt.54, ss.411-420, 2008
dc.identifier.issn0360-8352
dc.identifier.otherav_d5335780-f75b-4efd-bb08-ebc1f5d578e5
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/140686
dc.identifier.urihttps://doi.org/10.1016/j.cie.2007.08.003
dc.description.abstractFlow shop scheduling problem consists of scheduling given jobs with same order at all machines. The job can be processed on at most one machine; meanwhile one machine can process at most one job. The most common objective for this problem is makespan. However, multi-objective approach for scheduling to reduce the total scheduling cost is important. Hence, in this study, we consider the flow shop scheduling problem with multi-objectives of makespan, total flow time and total machine idle time. Ant colony optimization (ACO) algorithm is proposed to solve this problem which is known as NP-hard type. The proposed algorithm is compared with solution performance obtained by the existing multi-objective heuristics. As a result, computational results show that proposed algorithm is more effective and better than other methods compared. (C) 2007 Elsevier Ltd. All rights reserved.
dc.language.isoeng
dc.subjectMühendislik ve Teknoloji
dc.subjectMühendislik
dc.subjectEndüstri Mühendisliği
dc.subjectBilgisayar Bilimleri
dc.subjectBilgisayar Grafiği
dc.subjectMÜHENDİSLİK, ENDÜSTRİYEL
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.titleAnt colony optimization for multi-objective flow shop scheduling problem
dc.typeMakale
dc.relation.journalCOMPUTERS & INDUSTRIAL ENGINEERING
dc.contributor.departmentBursa Uludağ Üniversitesi , ,
dc.identifier.volume54
dc.identifier.issue3
dc.identifier.startpage411
dc.identifier.endpage420
dc.contributor.firstauthorID94535


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