电子学报2017，Vol.45Issue(8)：1856-1863,8.DOI:10.3969/j.issn.0372-2112.2017.08.008
基于多目标MSQPSO算法的UAVS协同任务分配
UAVS Cooperative Task Allocation Based on Multi-objective MSQPSO Algorithm
摘要
Abstract
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.关键词
无人机/任务分配/Pareto多目标优化/量子粒子群/多策略融合Key words
unmanned aerial vehicle/multi-task allocation/multi-objective optimization/quantum particle swarm/multi-strategy fusion分类
信息技术与安全科学引用本文复制引用
韩博文,姚佩阳,孙昱..基于多目标MSQPSO算法的UAVS协同任务分配[J].电子学报,2017,45(8):1856-1863,8.基金项目
国家自然科学基金(No.61573017) （No.61573017）
