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Optimization of Base Location and Patrol Routes for Unmanned Aerial Vehicles in Border Intelligence, Surveillance, and Reconnaissance

机译:在边境情报,监视和侦察中优化无人机的基地位置和巡逻路线

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摘要

The location-routing problem (LRP) of unmanned aerial vehicles (UAV) in border patrol for Intelligence, Surveillance, and Reconnaissance is investigated, where the locations of UAV base stations and the UAV flying routes for visiting the targets in border area are jointly optimized. The capacity of the base station and the endurance of the UAV are considered. A binary integer programming model is developed to formulate the problem, and two heuristic algorithms combined with local search strategies are designed for solving the problem. The experiment design for simulating the distribution of stations and targets in border is proposed for generating random test instances. Also, an example based on the practical border in Guangxi is presented to illustrate the problem and the solution approach. The performance of the two algorithms is analysed and compared through randomly generated instances.
机译:研究了用于情报,监视和侦察的边境巡逻中的无人飞行器(UAV)的位置路由问题(LRP),在此联合优化了无人机基地台的位置和访问边境目标的无人机飞行路线的位置。考虑基站的容量和无人机的耐久性。开发了一个二进制整数规划模型来表达该问题,并设计了两种启发式算法与局部搜索策略相结合来解决该问题。提出了模拟边界站和目标分布的实验设计,以生成随机测试实例。同时,以广西实际边界为例,说明了存在的问题和解决方法。通过随机生成的实例分析和比较了两种算法的性能。

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  • 来源
    《Journal of Advanced Transportation》 |2019年第1期|233-245|共13页
  • 作者单位

    Natl Univ Def Technol, Coll Syst Engn, Sci & Technol Informat Syst Engn Lab, Changsha 410073, Hunan, Peoples R China;

    Natl Univ Def Technol, Coll Syst Engn, Sci & Technol Informat Syst Engn Lab, Changsha 410073, Hunan, Peoples R China;

    Natl Univ Def Technol, Coll Syst Engn, Sci & Technol Informat Syst Engn Lab, Changsha 410073, Hunan, Peoples R China;

    Cent S Univ, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China;

    Natl Univ Def Technol, Coll Syst Engn, Sci & Technol Informat Syst Engn Lab, Changsha 410073, Hunan, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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