Artificial bee colony algorithm for solving multi-objective distributed fuzzy permutation flow shop problem

Baysal M. E., Sarucan A., BÜYÜKÖZKAN K., Engin O.

Journal of Intelligent and Fuzzy Systems, vol.42, no.1, pp.439-449, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 42 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.3233/jifs-2191202
  • Journal Name: Journal of Intelligent and Fuzzy Systems
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Page Numbers: pp.439-449
  • Keywords: agreement index, artificial bee colony, Distributed fuzzy permutation flow-shop, fuzzy completion time, multi-objective
  • Karadeniz Technical University Affiliated: Yes


© 2022 - IOS Press. All rights reserved.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.