Study of emergency resource distribution model based on genetic algorithm

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.