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多无人机系统协同多任务分配模型与仿真
引用本文:龙国庆,祝小平,周洲.多无人机系统协同多任务分配模型与仿真[J].飞行力学,2011,29(4):68-71,76.
作者姓名:龙国庆  祝小平  周洲
作者单位:1. 西北工业大学航天学院,陕西西安,710072
2. 西北工业大学无人机特种技术国家重点实验室,陕西西安,710072
基金项目:新世纪优秀人才支持计划(NCET-05-0867)
摘    要:针对多约束条件下的多无人机系统协同多任务分配问题(CMTAP),提出了利用多约束条件下的多车场车辆路径问题(MDVRPMC)对协同多任务分配问题进行建模,在设计基于Pareto最优的遗传模拟退火算法的基础上,对存在任务点动态时间窗口约束、任务类型约束、无人机任务能力约束等条件下的协同多任务分配问题进行了求解.实例仿真表...

关 键 词:多无人机  协同多任务分配问题  车辆路径问题  Pareto最优  遗传模拟退火算法

Model and simulation of cooperative multi-task assignment for multi-UAV system
LONG Guo-qing,ZHU Xiao-ping,ZHOU Zhou.Model and simulation of cooperative multi-task assignment for multi-UAV system[J].Flight Dynamics,2011,29(4):68-71,76.
Authors:LONG Guo-qing  ZHU Xiao-ping  ZHOU Zhou
Institution:LONG Guo-qing1,ZHU Xiao-ping1,ZHOU Zhou2(1.College of Astronautics,NWPU,Xi'an 710072,China,2.National Key Laboratory of Special and Technology on UAV,China)
Abstract:Aiming to find a solution,the cooperative multi-task assignment problem(CMTAP) for multi-UAV system is modeled based on the multi-depots vehicle routing problem with multiple constraints(MDVRPMC).After a genetic simulated annealing algorithm(GSA) based Pareto optimality is proposed,the cooperative multi-task assignment problem with multiple constraints is solved.The simulation results demonstrate the feasibility and efficiency of the method.
Keywords:multi-UAV  cooperative multi-task assignment problem(CMTAP)  vehicle routing problem  Pareto optimality  genetic simulated annealing algorithm(GSA)  
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