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本文结合实际的疏散中的具体问题,对基本粒子群(PSO)算法加以改进,提出了一种带有视野半径的PSO疏散模型。该疏散模型在基本PSO算法的基础上,考虑了人群在疏散过程中无法有效获得疏散人群中疏散状况最优的个体的信息的实际问题,在实际疏散过程中人们会更加倾向于寻找视野中的最优个体,并且在疏散过程中会有一定的跟随最优个体前进的趋势。通过对该方法进行建模分析,结果显示出,相对于传统PSO算法,改进的PSO算法有着更好的疏散效果。
In this paper, the PSO (particle swarm optimization) algorithm is improved according to the actual problem of evacuation, and a PSO evacuation model with view radius is proposed. Based on the basic PSO algorithm, this evacuation model considers the practical problem that the population can not effectively obtain the information of individuals with evacuation status in the process of evacuation. In actual evacuation process, people will be more inclined to look for the The best individual, and in the process of evacuation there will be some follow the trend of the best individual. Through the modeling analysis of this method, the result shows that the improved PSO algorithm has a better evacuation effect than the traditional PSO algorithm.