Paper Info
Title
A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms
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.
Year
DOI
Venue
2007
10.1016/j.ejor.2006.07.003
European Journal of Operational Research
Keywords
Field
DocType
Location,Fire stations,Multi-objective programming,Genetic algorithm,Fuzzy programming
Mathematical optimization,Fire protection,Fuzzy logic,Operations research,Multiobjective programming,Facility location problem,Fire risk,Fuzzy decision,Operations management,Mathematics,Genetic algorithm,Decision maker
Journal
Volume
Issue
ISSN
181
2
0377-2217
Citations 
PageRank 
References 
11
0.71
6
Authors
3
Name
Order
Citations
PageRank
Lili Yang15610.08
Bryan F. Jones262346.57
Shuanghua Yang337746.40