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A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms
journal contribution
posted on 2014-06-11, 14:24 authored by Lili Yang, B.F. Jones, Shuang-Hua YangLocation of fire stations is an important factor in its fire protection capability. This paper aims to determine the optimal location of fire station facilities. The proposed method is the combination of a fuzzy multi-objective programming and a genetic algorithm. The original fuzzy multiple objectives are appropriately converted to a single unified 'min-max' goal, which makes it easy to apply a genetic algorithm for the problem solving. Compared with the existing methods of fire station location our approach has three distinguish features: (1) considering fuzzy nature of a decision maker (DM) in the location optimization model; (2) fully considering the demands for the facilities from the areas with various fire risk categories; (3) being more understandable and practical to DM. The case study was based on the data collected from the Derbyshire fire and rescue service and used to illustrate the application of the method for the optimization of fire station locations. © 2006 Elsevier B.V. All rights reserved.
History
School
- Business and Economics
Department
- Business
Published in
European Journal of Operational ResearchVolume
181Issue
2Pages
903 - 915Citation
YANG, L., JONES, B.F. and YANG, S.H., 2007. A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms. European Journal of Operational Research, 181 (2), pp.903-915Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publication date
2007ISSN
0377-2217Publisher version
Language
- en