Artificial Bee Colony Algorithm for Solving Multi-Objective Distributed Fuzzy Permutation Flow Shop Problem [2]
| dc.contributor.author | Baysal, M.E. | |
| dc.contributor.author | Sarucan, A. | |
| dc.contributor.author | Büyüközkan, K. | |
| dc.contributor.author | Engin, O. | |
| dc.date.accessioned | 2023-10-02T11:17:36Z | |
| dc.date.available | 2023-10-02T11:17:36Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The distributed permutation flow shop scheduling (DPFSS) is a permutation flow shop scheduling problem including the multi-factory environment. The processing times of the jobs in a real life scheduling problem cannot be precisely know because of the human factor. In this study, the process times and due dates of the jobs are considered triangular and trapezoidal fuzzy numbers for DPFSS environment. An artificial bee colony (ABC) algorithm is developed to solve the multi-objective distributed fuzzy permutation flow shop (DFPFS) problem. First, the proposed ABC algorithm is calibrated with the well-known DPFSS instances in the literature. Then, the DPFSS instances are fuzzified and solved with the algorithm. According to the results, the proposed ABC algorithm performs well to solve the DFPFS problems. © 2022 - IOS Press. All rights reserved. | en_US |
| dc.identifier.doi | 10.3233/JIFS-219202 | |
| dc.identifier.issn | 1064-1246 | |
| dc.identifier.issn | 1875-8967 | |
| dc.identifier.scopus | 2-s2.0-85168723902 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.13091/4643 | |
| dc.language.iso | en | en_US |
| dc.publisher | IOS Press BV | en_US |
| dc.relation.ispartof | Journal of Intelligent and Fuzzy Systems | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | agreement index; artificial bee colony; Distributed fuzzy permutation flow-shop; fuzzy completion time; multi-objective | en_US |
| dc.subject | Fuzzy sets; Machine shop practice; Agreement index; Artificial bee colony; Artificial bees; Bee colony algorithms; Distributed fuzzy permutation flow-shop; Flow shop problems; Fuzzy completion time; Multi objective; Permutation flow-shop scheduling; Permutation flowshops; Optimization | en_US |
| dc.title | Artificial Bee Colony Algorithm for Solving Multi-Objective Distributed Fuzzy Permutation Flow Shop Problem [2] | en_US |
| dc.type | Article | en_US |
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| gdc.description.department | KTÜN | en_US |
| gdc.description.departmenttemp | Baysal, M.E., Konya Technical University, Industrial Engineering Department, Konya, Turkey; Sarucan, A., Konya Technical University, Industrial Engineering Department, Konya, Turkey; Büyüközkan, K., Karadeniz Technical University, Industrial Engineering Department, Trabzon, Turkey; Engin, O., Konya Technical University, Industrial Engineering Department, Konya, Turkey | en_US |
| gdc.description.endpage | 449 | en_US |
| gdc.description.issue | 1 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q2 | |
| gdc.description.startpage | 439 | en_US |
| gdc.description.volume | 42 | en_US |
| gdc.description.wosquality | Q4 | |
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| gdc.virtual.author | Sarucan, Ahmet | |
| gdc.virtual.author | Engin, Orhan | |
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