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《Acta Electronica Sinica》 2017-08
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UAVS Cooperative Task Allocation Based on Multi-objective MSQPSO Algorithm

HAN Bo-wen;YAO Pei-yang;SUN Yu;Information and Navigation College,Air Force Engineering University;  
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.
【Key Words】: unmanned aerial vehicle multi-task allocation multi-objective optimization quantum particle swarm multi-strategy fusion
【Fund】: 国家自然科学基金(No.61573017)
【CateGory Index】: TP18;V279
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