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

      1 , 1 , 1 , 2 , 1
      Journal of Advanced Transportation
      Hindawi Limited

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          Abstract

          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.

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          Most cited references18

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          Location-routing: Issues, models and methods

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            A survey of recent research on location-routing problems

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              A comparative study of heuristics for a two-level routing-location problem

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                Author and article information

                Journal
                Journal of Advanced Transportation
                Journal of Advanced Transportation
                Hindawi Limited
                0197-6729
                2042-3195
                January 23 2019
                January 23 2019
                : 2019
                : 1-13
                Affiliations
                [1 ]Science and Technology on Information Systems Engineering Laboratory, College of System Engineering, National University of Defense Technology, Changsha 410073, China
                [2 ]School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China
                Article
                10.1155/2019/9063232
                a950f06a-93ab-411c-b2c8-b2b4ac55e503
                © 2019

                http://creativecommons.org/licenses/by/4.0/

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