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

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 objecti...

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Bibliographic Details
Published in:	European journal of operational research Vol. 181; no. 2; pp. 903 - 915
Main Authors:	Yang, Lili, Jones, Bryan F., Yang, Shuang-Hua
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.09.2007 Elsevier Elsevier Sequoia S.A
Series:	European Journal of Operational Research
Subjects:	Applied sciences Decision making models Decision theory. Utility theory Exact sciences and technology Fire protection Fire stations Fuzzy logic Fuzzy programming Genetic algorithm Genetic algorithms Location Logistics Multi-objective programming Operational research and scientific management Operational research. Management science Optimization Optimization algorithms Studies Fire stations Fuzzy programming Multi-objective programming Genetic algorithm Location Decision making Multiobjective programming Fire station Fire protection Modeling Location problem Optimization Facility location Fuzzy logic Uncertain system Fire Minimax method Fuzzy decision
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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