Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout
Joint Authors
Li, Zhibin
Wang, Hui
Hou, Shiwang
Wen, Haijun
Feng, Shunxiao
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-19
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Unequal area facilities layout problem (UA-FLP) is an inevitable problem in the process of new construction, reconstruction, and expansion of enterprises.
The rationality of the facilities layout has a great influence on the operation performance of the production system.
Finding the optimal solution of UA-FLP according to the requirement of production process is the main content of the plant design.
The facilities were constrained by given areas and aspect ratio, respectively.
By adopting the method of slicing tree, the layout space was divided into multiple regions for each facility.
The genetic algorithm was developed by using layered coding to show the slicing process.
Considering the production logistics cost as well as the adjacency relations between the facilities, the goal function was established and the optimal solution was obtained by running the proposed algorithm.
Finally, the feasibility of the proposed approach was validated by a set of known problems.
The comparison results show that it can provide decision support for rapid optimal layout of multifacilities.
American Psychological Association (APA)
Hou, Shiwang& Wen, Haijun& Feng, Shunxiao& Wang, Hui& Li, Zhibin. 2019. Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1129423
Modern Language Association (MLA)
Hou, Shiwang…[et al.]. Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1129423
American Medical Association (AMA)
Hou, Shiwang& Wen, Haijun& Feng, Shunxiao& Wang, Hui& Li, Zhibin. Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1129423
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129423