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https://hdl.handle.net/20.500.13091/6039| Title: | A hybrid scatter search method for solving fuzzy no-wait flow-shop scheduling problems | Authors: | Başar, Ramazan Engin, Orhan |
Keywords: | No-wait fuzzy flow-shop scheduling scatter search algorithm customer satisfaction index Particle Swarm Optimization Dependent Setup Times Total Completion-Time Evolutionary Clustering Search Shop Problem Minimize Makespan Total Flowtime M-Machine Due-Date Availability Constraints |
Publisher: | Taylor & Francis Ltd | Abstract: | The literature published since the year 2000 was reviewed regarding the no-wait flow-shop scheduling (No-WFSS) problem. The No-WFSS problem with separate set-up times and fuzzy due dates is addressed to maximize the customer satisfaction index. A scatter search algorithm (SSA) is proposed, hybridized by some operators. The proposed SSA was first used for solving the considered fuzzy no-wait flow-shop scheduling with set-up time (FNo-WFSSWST) problem. Parameters were calibrated using 192 No-WFSS benchmark instances. The proposed SSA was compared with the genetic heuristic, adaptive learning approach, and hybrid ant colony optimization methods from the literature, showing significant performance improvements. It is concluded that the proposed algorithm is an efficient method for solving FNo-WFSSWST problems. | URI: | https://doi.org/10.1080/0305215X.2024.2367600 https://hdl.handle.net/20.500.13091/6039 |
ISSN: | 0305-215X 1029-0273 |
| Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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