A Novel Memetic Algorithm Based on Decomposition for Multiobjective Flexible Job Shop Scheduling Problem
Joint Authors
Wang, Yan
Wang, Chun
Zhicheng, Ji
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-29
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
A novel multiobjective memetic algorithm based on decomposition (MOMAD) is proposed to solve multiobjective flexible job shop scheduling problem (MOFJSP), which simultaneously minimizes makespan, total workload, and critical workload.
Firstly, a population is initialized by employing an integration of different machine assignment and operation sequencing strategies.
Secondly, multiobjective memetic algorithm based on decomposition is presented by introducing a local search to MOEA/D.
The Tchebycheff approach of MOEA/D converts the three-objective optimization problem to several single-objective optimization subproblems, and the weight vectors are grouped by K-means clustering.
Some good individuals corresponding to different weight vectors are selected by the tournament mechanism of a local search.
In the experiments, the influence of three different aggregation functions is first studied.
Moreover, the effect of the proposed local search is investigated.
Finally, MOMAD is compared with eight state-of-the-art algorithms on a series of well-known benchmark instances and the experimental results show that the proposed algorithm outperforms or at least has comparative performance to the other algorithms.
American Psychological Association (APA)
Wang, Chun& Zhicheng, Ji& Wang, Yan. 2017. A Novel Memetic Algorithm Based on Decomposition for Multiobjective Flexible Job Shop Scheduling Problem. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-20.
https://search.emarefa.net/detail/BIM-1189957
Modern Language Association (MLA)
Wang, Chun…[et al.]. A Novel Memetic Algorithm Based on Decomposition for Multiobjective Flexible Job Shop Scheduling Problem. Mathematical Problems in Engineering No. 2017 (2017), pp.1-20.
https://search.emarefa.net/detail/BIM-1189957
American Medical Association (AMA)
Wang, Chun& Zhicheng, Ji& Wang, Yan. A Novel Memetic Algorithm Based on Decomposition for Multiobjective Flexible Job Shop Scheduling Problem. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-20.
https://search.emarefa.net/detail/BIM-1189957
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189957