Abstract: After the occurrence of public emergency, resource scheduling is an important part of emergency management which is the realization of the rescue value. Firstly, the influencing factors of resource scheduling policy is analyzed from the perspective of emergency management. Secondly, the emergency resource scheduling model is established to optimize the time satisfaction, expenses cost and the demand satisfaction. Besides, this paper solves multi-objective resource scheduling using the particle swarm algorithm and chooses the resource scheduling scheme of the greatest utility satisfaction. Finally, utility satisfaction is used as the balance index of emergency resource scheduling. The simulation results show that this method has better utility satisfaction and improves the effectiveness of resource scheduling greatly.

Key words: emergency rescue, multi-objective, resource scheduling, particle swarm optimization, utility function