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A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms

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posted on 2014-06-11, 14:24 authored by Lili Yang, B.F. Jones, Shuang-Hua Yang
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.

History

School

  • Business and Economics

Department

  • Business

Published in

European Journal of Operational Research

Volume

181

Issue

2

Pages

903 - 915

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

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publication date

2007

ISSN

0377-2217

Language

  • en