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
Link To Document :
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