Unmanned aerial vehicle system (UAVS) cooperative combat model with temporal constraint of task type is insufficient making decision by single objective optimization.The multi-objective multi-strategy fusion quantum particle swarm optimization (MSQPSO) algorithm was proposed.To establish the task allocation model more accord with the actual operation situation

adding temporal constraint of task type and multi-UAV cooperative constraint

and abstracting the various capabilities of UAV.The quantum particle swarm optimization was improved by good-point set theory

scale chaos factor

quantum mutation and dynamic inertia weight.The multi-objective optimization was adopted to make decision.The final simulation results verify the effectiveness and superiority of the proposed MSQPSO algorithm.