dc.contributor.author | Oztop, H. | |
dc.contributor.author | Tasgetiren, M.F. | |
dc.contributor.author | Kandiller, L. | |
dc.contributor.author | Tursel Eliiyi, D. | |
dc.contributor.author | Gao, L. | |
dc.date.accessioned | 2021-01-25T19:32:36Z | |
dc.date.available | 2021-01-25T19:32:36Z | |
dc.date.issued | 2020 | |
dc.identifier | 10.1016/j.swevo.2020.100660 | |
dc.identifier.issn | 2210-6502 | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7285 | |
dc.description.abstract | Due 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.iso | English | |
dc.publisher | ELSEVIER | |
dc.title | Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption | |
dc.type | Article | |
dc.relation.volume | 54 | |
dc.description.woscategory | Computer Science, Artificial Intelligence; Computer Science, Theory & Methods | |
dc.description.wosresearcharea | Computer Science | |
dc.identifier.wosid | WOS:000528484400010 | |