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Optimal Facility Location Model Based on Genetic Simulated Annealing Algorithm for Siting Urban Refueling Stations
Joint Authors
Xie, Yuanchang
Chen, Dawei
Zhou, Shun
Li, Xuhong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper analyzes the impact factors and principles of siting urban refueling stations and proposes a three-stage method.
The main objective of the method is to minimize refueling vehicles’ detour time.
The first stage aims at identifying the most frequently traveled road segments for siting refueling stations.
The second stage focuses on adding additional refueling stations to serve vehicles whose demands are not directly satisfied by the refueling stations identified in the first stage.
The last stage further adjusts and optimizes the refueling station plan generated by the first two stages.
A genetic simulated annealing algorithm is proposed to solve the optimization problem in the second stage and the results are compared to those from the genetic algorithm.
A case study is also conducted to demonstrate the effectiveness of the proposed method and algorithm.
The results indicate the proposed method can provide practical and effective solutions that help planners and government agencies make informed refueling station location decisions.
American Psychological Association (APA)
Chen, Dawei& Zhou, Shun& Xie, Yuanchang& Li, Xuhong. 2015. Optimal Facility Location Model Based on Genetic Simulated Annealing Algorithm for Siting Urban Refueling Stations. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1075245
Modern Language Association (MLA)
Chen, Dawei…[et al.]. Optimal Facility Location Model Based on Genetic Simulated Annealing Algorithm for Siting Urban Refueling Stations. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1075245
American Medical Association (AMA)
Chen, Dawei& Zhou, Shun& Xie, Yuanchang& Li, Xuhong. Optimal Facility Location Model Based on Genetic Simulated Annealing Algorithm for Siting Urban Refueling Stations. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1075245
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075245