Study of Emergency Resource Distribution Model Based on Genetic Algorithm

摘要：

This article discusses the problems in the emergency resource deployment, establishes a time-centered mathematical model. It uses the genetic algorithm to solve the problem in the resource allocation, makes a useful improvement, detailed analyses the elements of genetic algorithm in calculating the optimal deployment path, and demonstrates the influence of the algorithm parameters. And it proposes the alternate cross method for the crossover of genetic algorithm. And it makes the comparison of the experiment results of the following three crossover methods, including single-point, double points and the alternate crossover. The experimental results show that improved algorithm can effectively solve the problems of resource deployment and emergency response, and can provide strong decision support for decision-makers.

关键词： Genetic Algorithm Emergency Response Plan Emergency Resource Deployment

作者: Li Yongli Liu Yanheng Zhang Hailong Xiao Jiantao Zhao Yu Guan Weizhou

作者单位: College of Computer Science and Technology,Jilin University,Changchun,130012,China School of Compute College of Computer Science and Technology,Jilin University,Changchun,130012,China School of Computer Science,Northeast Normal University,Changchun,130117 ,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-6

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）