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Title: A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms
Authors: Yang, Lili
Jones, B.F.
Yang, Shuang-Hua
Keywords: Location
Fire stations
Multi-objective programming
Genetic algorithm
Fuzzy programming
Issue Date: 2007
Publisher: © Elsevier
Citation: 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.903-915
Abstract: Location 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.
Version: Accepted
DOI: 10.1016/j.ejor.2006.07.003
URI: https://dspace.lboro.ac.uk/2134/14817
Publisher Link: http://dx.doi.org/10.1016/j.ejor.2006.07.003
ISSN: 0377-2217
Appears in Collections:Published Articles (Business School)

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