An Evacuation Model Based on the Improved Particle Swarm Optimization

In recent years, the unexpected factors leading to frequent accidents which causing heavy casualties and economic losses. Therefore, how to make use of computer technology to simulate the evacuation process has an important practical significance. In this paper, we propose a new model for evacuation. Based on the traditional particle swarm algorithm, we revise the inertia weight of the algorithm to balance the global and local search ability according to the aggregation degree of the population. Taking the interaction between individual and others, individual and obstacles or wall into account, we introduce the social force model to simulate this phenomenon and use it as a collision resolution strategy. Then, we combine the improved PSO-based model with modified Social Force Model to form the velocity updating rule. In the end, through simulation and analyzation, we testify the modified model is very effective.