Artificial bee colony algorithm for solving multi-objective distributed fuzzy permutation flow shop problem-Reference-Cited by-同舟云学术

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

Published:2021-12-31 Issue:1 Volume:42 Page:439-449
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Baysal M. Emin¹,Sarucan Ahmet¹,Büyüközkan Kadir²,Engin Orhan¹

Affiliation:

1. Konya Technical University, Industrial Engineering Department, Konya, Turkey

2. Karadeniz Technical University, Industrial Engineering Department, Trabzon, Turkey

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.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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