dc.contributor.author | Oztop, H. | |
dc.contributor.author | Tasgetiren, M.F. | |
dc.contributor.author | Tursel Eliiyi, D. | |
dc.contributor.author | Pan, Q.K. | |
dc.date.accessioned | 2021-01-25T19:32:44Z | |
dc.date.available | 2021-01-25T19:32:44Z | |
dc.date.issued | 2019 | |
dc.identifier | 10.1016/j.cor.2019.06.009 | |
dc.identifier.issn | 0305-0548 | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7374 | |
dc.description.abstract | The hybrid flowshop scheduling problem (HFSP) has been widely studied in the literature, as it has many real-life applications in industry. Even though many solution approaches have been presented for the HFSP with makespan criterion, studies on HFSP with | |
dc.description.sponsorship | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51435009] | |
dc.language.iso | English | |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | |
dc.title | Metaheuristic algorithms for the hybrid flowshop scheduling problem | |
dc.type | Article | |
dc.relation.firstpage | 177 | |
dc.relation.lastpage | 196 | |
dc.relation.volume | 111 | |
dc.description.woscategory | Computer Science, Interdisciplinary Applications; Engineering, Industrial; Operations Research & Management Science | |
dc.description.wosresearcharea | Computer Science; Engineering; Operations Research & Management Science | |
dc.identifier.wosid | WOS:000483411600013 | |