The application and research on particle swam optimization in emergency evacuation

During any extreme event, especially the evacuation in crowded places. The keys to saving lives are orderly and efficient evacuations. We have improved the traditional particle swarm optimization. It can simulate non-adaptive crowd behavior in the crowd facilities during the emergency evacuation. We introduce the concept of the leader (trained staff) and the parameter of influence, and analyzed the influence of the leader on the evacuation process, especially the factors of the leader´s distribution, number and influence. It will provide theoretical support for the evacuation of High-density facilities.