海军航空大学学报2023，Vol.38Issue(6)：473-482,10.DOI:10.7682/j.issn.2097-1427.2023.06.005
不确定环境下多无人机任务分配
Task Allocation for Multi-UAV Under Dynamic Environment
摘要
Abstract
In view of the uncertainty of distance between the unmanned aerial vehicle(UAV)and target in complex battle-field environment,the distance is abstracted as an interval number.On the basis,a mathematical model of task allocation for multi-UAV under uncertain environment is constructed.Considering the particularity of the task allocation problem for multi-UAV,the coding scheme,mutation operation and crossover operation of differential evolution(DE)algorithm are redesigned.In the selection operation,the selective probability of the candidate solution is calculated according to the possibility based on the interval number sorting method.In view of the inherent characteristics and application situations of different mutation strategies in the DE algorithm,three DE algorithms with multi-mutation strategies are proposed in order to maximize the technical advantages of each mutation strategy.Simulation experiments on the benchmark func-tions of CEC 2013 and the task allocation problem for the multi-UAV are carried out respectively.The experimental re-sults show that the DE algorithm with multi-mutation strategies has significant performance improvement and is very suit-able for solving the task allocation problem for the multi-UAV.关键词
无人机/任务分配/区间数/差分进化/变异策略Key words
unmanned aerial vehicle/task allocation/interval number/differential evolution/mutation strategy分类
航空航天引用本文复制引用
徐庆征,马依笑,王娜..不确定环境下多无人机任务分配[J].海军航空大学学报,2023,38(6):473-482,10.基金项目
国家自然科学基金面上项目(62272384) （62272384）
