Synergy of Genetic Algorithm with Extensive Neighborhood Search for the Permutation Flowshop Scheduling Problem
Joint Authors
Chen, Jeanne
Chen, Tung-Shou
Huang, Chien-Che
Chen, Li-Chiu
Chen, Rong-Chang
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The permutation flowshop scheduling problem (PFSP) is an important issue in the manufacturing industry.
The objective of this study is to minimize the total completion time of scheduling for minimum makespan.
Although the hybrid genetic algorithms are popular for resolving PFSP, their local search methods were compromised by the local optimum which has poorer solutions.
This study proposed a new hybrid genetic algorithm for PFSP which makes use of the extensive neighborhood search method.
For evaluating the performance, results of this study were compared against other state-of-the-art hybrid genetic algorithms.
The comparisons showed that the proposed algorithm outperformed the other algorithms.
A significant 50% test instances achieved the known optimal solutions.
The proposed algorithm is simple and easy to implement.
It can be extended easily to apply to similar combinatorial optimization problems.
American Psychological Association (APA)
Chen, Rong-Chang& Chen, Jeanne& Chen, Tung-Shou& Huang, Chien-Che& Chen, Li-Chiu. 2017. Synergy of Genetic Algorithm with Extensive Neighborhood Search for the Permutation Flowshop Scheduling Problem. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1190226
Modern Language Association (MLA)
Chen, Rong-Chang…[et al.]. Synergy of Genetic Algorithm with Extensive Neighborhood Search for the Permutation Flowshop Scheduling Problem. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1190226
American Medical Association (AMA)
Chen, Rong-Chang& Chen, Jeanne& Chen, Tung-Shou& Huang, Chien-Che& Chen, Li-Chiu. Synergy of Genetic Algorithm with Extensive Neighborhood Search for the Permutation Flowshop Scheduling Problem. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1190226
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190226