An Improved Particle Swarm Optimization Algorithm Used for Unmanned Aerial Vehicle Fixed-point Reconnaissance Route Planning

نویسندگان

  • ZHIMIN WANG
  • Zhimin Wang
  • Xun Chen
  • Lisheng Xu
چکیده

The paper puts forward an unmanned aerial vehicle (UAV) fixed-point reconnaissance route planning method. The method introduces the improved particle swarm optimization (IPSO) method to the planning of UAV reconnaissance route and adds the objective value, effective reconnaissance route and other factors affecting UAV reconnaissance route in the objective function of particle swam to obtain the optimum solution through continuous optimization of the particle swarm optimization algorithm. The paper finally simulates the method to get the satisfactory results.

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تاریخ انتشار 2016