DocumentCode
2853052
Title
Genetic Algorithm for Solving Problems in Emergency Management
Author
Chuan-feng, Han ; Chao, Zhang
Author_Institution
Sch. of Econ. & Manage., Tongji Univ, Shanghai, China
Volume
4
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
259
Lastpage
264
Abstract
Emergency management is an important subject in both management science and social science, and has been paid more and more attention. Emergency facility location problem and optimal allocation of emergency facilities problem are two significant problems in emergency management. However,efficient algorithms for solving NP problems in the above two problems are few. In such cases, the application of evolutionary algorithms is a good choice. In this paper, we introduce two mathematical models of the above two problems, and transform them into integer programming questions, which are both NP problems. Then we give two experiments.The solutions to the experiments are obtained by applying genetic algorithm. The experiments results show that genetic algorithm could solve the problems effectively and efficiently. This research gives us anew direction for the further research in emergency management.
Keywords
computational complexity; emergency services; facility location; genetic algorithms; integer programming; management science; social sciences; NP problems; emergency facilities optimal allocation; emergency facility location problem; emergency management problems; evolutionary algorithms; genetic algorithm; integer programming; management science; social science; Chaos; Conference management; Costs; Disaster management; Evolutionary computation; Genetic algorithms; Linear programming; Mathematical model; Personnel; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.333
Filename
5365516
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