Master'sOpen Access

Solution of multi-objective flexible flow shop scheduling problems with hybrid firefly algorithm

2019
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Advisor: Prof. Dr. Orhan Engin

Abstract (EN)

Herd behaviors are the movements of the affected groups each other and their actions. Algorithms have been produced by inspiration from the movements and behaviors of the groups. One of the algorithms produced is the firefly algorithm. Firefly algorithm is a method that aims to produce solutions by firing insects based on light emission and movements towards the light source. Compared to other heuristic algorithms, it is easy to apply to real problems. Because of this feature, firefly algorithm has become an increasingly important solution method. In the study, the solution steps of the firefly algorithm are hybridized with the help of the operators of the genetic algorithm to solve the multi-objective flexible flow type scheduling problems. The hybrid firefly algorithm is used to solve the flexible flow type multipath scheduling problem in the literature. The proposed hybrid firefly algorithm has been determined to be a successful method for solving multi-objective flexible flow type scheduling problems.

Author

Dr. Fatmagül Topçam

How to Cite

Fatmagül Topçam (Master Thesis). Solution of multi-objective flexible flow shop scheduling problems with hybrid firefly algorithm, 2019, Konya Technical University.

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