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dc.contributor.authorOztop, H.
dc.contributor.authorTasgetiren, M.F.
dc.contributor.authorKandiller, L.
dc.contributor.authorEliiyi, D.T.
dc.contributor.authorGao, L.
dc.date.accessioned2021-01-25T20:47:57Z
dc.date.available2021-01-25T20:47:57Z
dc.date.issued2020
dc.identifier10.1016/j.swevo.2020.100660
dc.identifier.issn22106502
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85079320486&doi=10.1016%2fj.swevo.2020.100660&partnerID=40&md5=bf03f2383d62cbd004c8acd53935f7b8
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9642
dc.description.abstractDue to its practical relevance, the hybrid flowshop scheduling problem (HFSP) has been widely studied in the literature with the objectives related to production efficiency. However, studies regarding energy consumption and environmental effects have rath
dc.language.isoEnglish
dc.publisherSwarm and Evolutionary Computation
dc.titleEnsemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption
dc.typeArticle
dc.relation.volume54
dc.description.affiliationsDepartment of Industrial Engineering, Yasar University, Bornova, Izmir, 35100, Turkey; Mechanical and Industrial Engineering Department, Qatar University, Doha, Qatar; Department of Industrial Engineering, Izmir Bakircay University, Menemen, Izmir, 35665,


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