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Combined Simulated Annealing Algorithm for the Discrete Facility Location Problem
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-19
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
The combined simulated annealing (CSA) algorithm was developed for the discrete facility location problem (DFLP) in the paper.
The method is a two-layer algorithm, in which the external subalgorithm optimizes the decision of the facility location decision while the internal subalgorithm optimizes the decision of the allocation of customer's demand under the determined location decision.
The performance of the CSA is tested by 30 instances with different sizes.
The computational results show that CSA works much better than the previous algorithm on DFLP and offers a new reasonable alternative solution method to it.
American Psychological Association (APA)
Qin, Jin& Ni, Ling-lin& Shi, Feng. 2012. Combined Simulated Annealing Algorithm for the Discrete Facility Location Problem. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-482115
Modern Language Association (MLA)
Qin, Jin…[et al.]. Combined Simulated Annealing Algorithm for the Discrete Facility Location Problem. The Scientific World Journal No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-482115
American Medical Association (AMA)
Qin, Jin& Ni, Ling-lin& Shi, Feng. Combined Simulated Annealing Algorithm for the Discrete Facility Location Problem. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-482115
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482115