基于自定义遗传算法的多无人机路网侦察协同任务分配

Qiusheng Wang, Li Liu, Weiyong Tian
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引用次数: 0

摘要

协同侦察是多无人机协同任务的重要任务场景。复杂的环境要求无人机沿着道路网络移动,并在城市战争、精准农业、物流和运输等任务场景中完成道路侦察。考虑任务执行过程中路网约束,定义了多无人机协同公路网侦察任务分配问题,建立了多无人机公路网侦察旅行推销员问题(MRRTSP)模型。在此基础上,采用自定义路网侦察遗传算法(CGA-RR)解决路网侦察任务分配问题。仿真结果表明了该算法的有效性,可以实现多无人机任务的最优分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative Task Assignment of Multi-UAV in Road-network Reconnaissance Using Customized Genetic Algorithm
Cooperative reconnaissance is an important task scenario of multi-UAV cooperative mission. The complex environments require UAVs to move along the road-network and complete reconnaissance of the road in mission scenarios such as urban warfare, precision agriculture, logistics and transportation. In this paper, considering the road-network constraints during the task execution, the task assignment problem of multi-UAV cooperative road-network reconnaissance is defined, and the model of multi-UAV road-network reconnaissance traveling salesman problem (MRRTSP) is established. Furthermore, a customized genetic algorithm for road-network reconnaissance (CGA-RR) is used to solve the task assignment problem. Simulation results show the effectiveness of the algorithm, which can achieve the optimal multi-UAV task assignment.
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