指挥控制与仿真2024，Vol.46Issue(5)：13-20,8.DOI:10.3969/j.issn.1673-3819.2024.05.003
基于改进黑猩猩算法的异构多无人机协同任务分配
Heterogeneous multi-UAV collaborative task allocation based on modified chimp optimization algorithm
许子俍 1胡涛 2王书 2刘凯越 2秦宜辉 3张申建 3何润泽 2邓文杰2
作者信息
- 1. 信息工程大学,河南 郑州 450001||中国人民解放军 66389 部队,河南 郑州 450001
- 2. 信息工程大学,河南 郑州 450001
- 3. 中国人民解放军 66389 部队,河南 郑州 450001
- 折叠
摘要
Abstract
Aiming at the task assignment problem of heterogeneous UAV performing multi-type fixed tasks on the ground,a task allocation method based on Cooperative Multiple Task Allocation Problem(CMTAP)and Modified Chimp Optimization Algorithm(MChOA)is proposed.Firstly,the CMTAP model is established,and the combat scene is depicted by setting the elements in the quad,and a multi-objective evaluation function with the highest total return,the lowest threat cost,and the shortest total flight range is established.Secondly,the MChOA algorithm is used to complete the model solving:the chaotic reverse learning strategy is adopted to improve the diversity of the intial population distribution.In the iteration stage,the global and local search capabilities of the algorithm are better balanced by adopting the dynamic adjustment strategy of pre-emptive behavior.Comparative experiments show that compared with the original algorithm,the resulting task allocation scheme reduces the average total voyage in the two scale scenarios by 22.6%and 21.1%,respectively,while maintaining a higher task gain and a lower threat cost.关键词
无人机/任务分配/协同多任务分配模型/改进黑猩猩算法Key words
Unmanned Aerial Vehicle/task assignment/cooperative multiple task allocation problem/MChOA分类
航空航天引用本文复制引用
许子俍,胡涛,王书,刘凯越,秦宜辉,张申建,何润泽,邓文杰..基于改进黑猩猩算法的异构多无人机协同任务分配[J].指挥控制与仿真,2024,46(5):13-20,8.
