基于差分进化算法的异构多无人机任务分配  

Cooperative Task Assignment for Heterogeneous Multi-UAVs Based on Differential Evolution Algorithm

作　　者：宋敏[1] 魏瑞轩[1] 冯志明 

机构地区：[1]空军工程大学工程学院,西安710038 [2]空军装备部科订部,北京100081

出　　处：《系统仿真学报》2010年第7期1706-1710,共5页Journal of System Simulation

摘　　要：针对不同类型无人机协同完成对目标的侦察、打击以及毁伤评估的任务分配问题,在充分考虑不同UAV执行任务方式差异的基础上,建立了更加贴近实际的异构多UAV任务分配模型。采用任务分层解耦的方法降低模型求解难度,并提出一种基于种群灾变的自适应差分进化算法求解该模型。仿真实验表明,该算法具有收敛速度快,寻优能力强等优点,能够有效的完成异构多UAV的协同任务分配。Aiming at the problem of multi heterogeneous UAVs＇ cooperative task assignment when accomplishing reconnaissance,attack and damage evaluation tasks,Taking full account of the task differences between various UAVs,a hierarchical task decoupling method had been presented to reduce the difficulty of solving the method,and a kind of adaptive differential evolution algorithm based on population catastrophe is developed.The simulation results show that the algorithm has fast convergence,optimization capability,and cam solve the heterogeneous multi-UAVs cooperative tasks assignment problem effectively.

关 键 词：异构多无人机 协同 任务分配 自适应差分进化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]