A new approach to solving multi-objective flow-shop scheduling problems : a Multi-MOORA-based genetic algorithm
Joint Authors
Demir, Alparslan Serhat
Gelen, Mine Bushra
Source
Journal of Engineering Research
Issue
Vol. 9, Issue 4 A (31 Dec. 2021), pp.191-200, 10 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2021-12-31
Country of Publication
Kuwait
No. of Pages
10
Main Subjects
Abstract EN
Flow-shop scheduling problems constitute a type of problem that is frequently discussed in the literature where a wide variety of methods are developed for their solution.
Although the problem used to be set as a single purpose, it became necessary to expect more than one objective to be evaluated together with increasing customer expectation and competition, after which studies were started to be carried out under the title of multi-objective flow-shop scheduling.
With the increase in the number of workbenches and jobs, the difficulty level of the problem increases in a nonlinear way, and the solution becomes more difficult.
This study proposes a new hybrid algorithm by combining genetic algorithms, which are metaheuristic methods, and the MultiMoora method, which is a multi-criterion decision-making method, for the solution of multi-objective flow-shop scheduling problems.
The study evaluates and tries to optimize the performance criteria of maximum completion time, average flow time, maximum late finishing, average tardiness and the number of late (tardy) jobs.
The proposed algorithm is compared to the standard multi-objective genetic algorithm (MOGA) and the MultiMoora-based genetic algorithm (MBGA) shows better results.
American Psychological Association (APA)
Demir, Alparslan Serhat& Gelen, Mine Bushra. 2021. A new approach to solving multi-objective flow-shop scheduling problems : a Multi-MOORA-based genetic algorithm. Journal of Engineering Research،Vol. 9, no. 4 A, pp.191-200.
https://search.emarefa.net/detail/BIM-1494713
Modern Language Association (MLA)
Demir, Alparslan Serhat& Gelen, Mine Bushra. A new approach to solving multi-objective flow-shop scheduling problems : a Multi-MOORA-based genetic algorithm. Journal of Engineering Research Vol. 9, no. 4 A (Dec. 2021), pp.191-200.
https://search.emarefa.net/detail/BIM-1494713
American Medical Association (AMA)
Demir, Alparslan Serhat& Gelen, Mine Bushra. A new approach to solving multi-objective flow-shop scheduling problems : a Multi-MOORA-based genetic algorithm. Journal of Engineering Research. 2021. Vol. 9, no. 4 A, pp.191-200.
https://search.emarefa.net/detail/BIM-1494713
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 199-200
Record ID
BIM-1494713