An adaptive ant colony evacuation model based on CCRP optimization algorithm

Abstract

With the occurrence of terrorist attacks in tourist attractions, safe and efficient population evacuation scheme becomes very important. Effective evacuation plan can reduce casualties and economic losses, and more reasonable and scientific evacuation plan is of great significance. At present, most of the existing evacuation algorithms are for Single-storey buildings. Even for multi-storey buildings, they can not take into account the types of tourists and some additional interference factors in evacuation, and can not accurately estimate the shortest evacuation time needed, and can not be widely applied to various buildings. To solve these problems, an adaptive ant colony model based on CCRP optimization algorithm is proposed to help Louvre visitors escape from danger effectively in terrorist attacks. In this paper, the shortest escape time is accurately predicted, and the simulation results are basically consistent with the results of the model. Finally, three landmark buildings, Elements Museum in Austria, Student Apartment in Switzerland and Wal-Mart, are solved, which further illustrates the validity and universality of the model.