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Collaborative Mission Planning of Multi-target Group Multi-base and Multi-UAV

  • LIU Chang ,
  • XIE Wenjun ,
  • ZHANG Peng ,
  • GUO Qing
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  • Equipment Management and UAV Engineering College, Air Force Engineering University, Xi'an 710051, China

Received date: 2018-06-28

  Online published: 2025-05-21

Abstract

Aimed the problem of collaborative mission planning of multi-target group multi-base multi-UAV, a periodic fast search genetic algorithm (PFSGA) is proposed. For the task of reconnaissance, this paper introduces the common assignment strategy into the mission planning, builds the multi-UAV collaborative reconnaissance mission planning mathematical model and applies the PFSGA to solve the multi-UAV collaborative reconnaissance mission planning problem. Simulation example verified the validity of the modal and the rationality of the algorithm. The comparison with the single parent genetic algorithm and the traditional genetic algorithm, the PFSGA is more efficient and accurate.

Cite this article

LIU Chang , XIE Wenjun , ZHANG Peng , GUO Qing . Collaborative Mission Planning of Multi-target Group Multi-base and Multi-UAV[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2019 , 39(1) : 119 -124 . DOI: 10.15892/j.cnki.djzdxb.2019.01.025

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