基于蚁群算法的动态人员疏散模拟

Research for Dynamic Evacuation Route Based on Adaptive Ant Colony Algorithm

针对传统疏散系统存在的问题,利用了蚁群算法在求解最短路径问题上的优势,综合考虑了火灾时期人员的行为特征,提出了一种基于蚁群算法的动态人员疏散路径寻优模型,并以实例为基础进行无火灾发生和发生火灾时的模拟仿真,得到最优疏散路径的动态调整,有效提高人员疏散效率,减少人员伤亡。

To settle the problems of traditional evacuation system, taking the advantages of Ant Colony Algorithm in solving the short- est path problem as well as considering the human beings＇ behaviors during the fire period, we put forward a dynamic optimizing model of person evacuation path based on Ant Colony Algorithm, combining with the analogue simulation of fire-free or fire occur- rence built on the living example. Then we finally come to a conclusion that dynamic adjust-ment of the optimized evacuation path can improve the evacuation capacity and reduce the casualties effectively.