城市紧急疏散战略

2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC) Pub Date : 2017-10-01 DOI:10.1109/BESC.2017.8256371

Zhongwei Xie, Lin Li, Yueqing Sun, Wangping Li, Guiming Xu

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引用次数: 0

摘要

随着社会经济的发展，应急疏散决策系统的建立具有重要的意义。本文主要讨论了利用遗传算法(GA)搜索最优疏散策略。数学模型是在对交通数据和路由问题进行细致分析的基础上建立的。通过对比遗传算法、模拟退火算法和粒子群算法的实验结果可以看出，遗传算法的性能最好，在复杂环境下能够比其他两种算法找到更好的疏散策略。

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Urban emergency evacuation strategy

Along with social economy development, it is attached great significance to have a decision making system for emergency evacuation strategy. The paper mainly discusses about using Genetic Algorithm (GA) to search optimal evacuation strategy. The mathematical model is built based on scrupulous analysis of the traffic data and routing problem. By means of comparing experimental results of genetic algorithm, simulated annealing algorithm and particle swarm algorithm, it can be seen that genetic algorithm has the best performance and can figure out a better evacuation strategy in complex environment than the other two algorithms.

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来源期刊

2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)

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