指挥控制与仿真2025，Vol.47Issue(6)：39-45,7.DOI:10.3969/j.issn.1673-3819.2025.06.006
基于改进遗传算子的多异构无人机静态任务分配算法
Static task allocation algorithm for multi-heterogeneous UAVs based on improved genetic operators
王成飞1
作者信息
- 1. 中国人民解放军91977部队,北京 100036
- 折叠
摘要
Abstract
To address the issues of insufficient global optimality and robustness in traditional mission planning for unmanned aerial vehicles(UAVs)in urban disaster relief scenarios,this paper proposes a multi-heterogeneous UAV static task alloca-tion algorithm based on improved genetic operators.By enhancing genetic operators,designing a functionally coupled chro-mosome encoding strategy,introducing adaptive crossover and mutation mechanisms,and embedding a path planning module into the task allocation algorithm,the accuracy of the task allocation cost function calculation is improved.This effectively o-vercomes the drawbacks of traditional methods,such as inaccurate allocation results due to path cost estimation deviations,as well as poor global optimization and robustness.关键词
路径规划/异构无人机约束/遗传算法/任务分配Key words
path planning/heterogeneous UAV constraint/genetic algorithm/task allocation分类
军事科技引用本文复制引用
王成飞..基于改进遗传算子的多异构无人机静态任务分配算法[J].指挥控制与仿真,2025,47(6):39-45,7.
