期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：267
期号：3
页码：1-8
DOI：10.1088/1755-1315/267/3/032017
出版社：IOP Publishing
摘要：The safe and orderly evacuation of crowds is a hot topic at home and abroad. To solve the problem of low evacuation efficiency of evacuation model based on PSO, this paper constructed a crowd evacuation model based on Bat Algorithm (BA). This model selected the new swarm intelligence algorithm Bat Algorithm and comprehensively considered obstacle avoidance. Specifically, firstly, the principle of BA and its feasibility for evacuation was introduced. Then, BA was used to update the crowd movement, the obstacle avoidance mechanism was established by using the cost function, and the crowd evacuation model based on BA was constructed. Finally, the evacuation path, evacuation efficiency and degree of chaos of this model and PSO-based evacuation model were compared and analyzed. The degree of chaos is represented by the value of evacuation entropy. Simulation results show that this model can effectively improve the evacuation efficiency and reduce the degree of chaos in the evacuation process.
