华中科技大学学报（自然科学版）Issue(z1)：302-306,5.DOI:10.13245/j.hust.15S1072
城市环境下的异构多无人机层次化任务分配
Hierarchical task allocation for heterogeneous multi-UAV in an urban terrain
摘要
Abstract
A hierarchical task allocation of MUAV and SUAV was proposed to solve the problem of multi-UAV application in an urban terrain.The influence factor on task success rate of SUAV was an-alysed,which was also added to the objective function to build the task allocation model inside the de-tection range.The particle swarm optimization (PSO)algorithm for solving the problem was presen-ted,based on the strategy that the inertia weight declined with the concave function.Search operator of artificial bee colony was also introduced into the algorithm to solve the problems of premature con-vergence frequently appeared in standard PSO algorithm and its poor convergence.The simulation re-sults show that the model and the algorithm can effectively solve the hierarchical task allocation for heterogeneous multi-UAV in an urban terrain.关键词
任务分配/无人机协同/城市环境/粒子群算法/蜂群算法Key words
task allocation/urban terrain/particle swarm optimization/artificial bee colony algorithm分类
信息技术与安全科学引用本文复制引用
丁臻极,王从庆,丛楚滢,李志宇..城市环境下的异构多无人机层次化任务分配[J].华中科技大学学报（自然科学版）,2015,(z1):302-306,5.基金项目
江苏省科技支撑计划资助项目（BE2014712；BE2010190）． （）
