An optimized genetic algorithm for single UAV mission planning

Tan Wei; Yongjiang Hu; Yuefei Zhao; Wenguang Li; Jin He; Zhiming Zhen

doi:10.1117/12.2624054

6 February 2022 An optimized genetic algorithm for single UAV mission planning

Tan Wei, Yongjiang Hu, Yuefei Zhao, Wenguang Li, Jin He, Zhiming Zhen

Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 120810G (2022) https://doi.org/10.1117/12.2624054
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China

Abstract

This paper studies the mission planning of a single UAV, and proposes a rapid mission planning method for UAVs based on the Voronoi diagram genetic algorithm. Taking the shortest coordinated strike path as the objective function, the Voronoi diagram is used to divide the task environment space, which effectively reduces the space complexity of the solution. On the basis of the centralized mission planning architecture, the genetic algorithm based on the Voronoi diagram is used to realize the rapid solution of the problem and the mission planning of the UAV. The simulation results show that this method can effectively select the initial base and complete the coordinated strike mission of multiple targets.

Citation Download Citation

Tan Wei, Yongjiang Hu, Yuefei Zhao, Wenguang Li, Jin He, and Zhiming Zhen "An optimized genetic algorithm for single UAV mission planning", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 120810G (6 February 2022); https://doi.org/10.1117/12.2624054

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available