Multi-UAV cooperative task planning based on an improved adaptive simulated annealing and genetic algorithm

Zhuo Cheng; Hui Zhang; Liqiang Guo

doi:10.1117/12.3004694

9 October 2023 Multi-UAV cooperative task planning based on an improved adaptive simulated annealing and genetic algorithm

Zhuo Cheng, Hui Zhang, Liqiang Guo

Author Affiliations +

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127910N (2023) https://doi.org/10.1117/12.3004694
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

Aiming at the shortcomings of traditional optimization algorithms in solving speed and flexibility of multi-UAV cooperative task planning, a multi-UAV cooperative task planning method based on improved adaptive simulated annealing and genetic algorithm is proposed. Starting from the problem of motion encounter and the starting state of UAV and target, the multi-UAV cooperative task planning model based on action sequence is constructed, and the mathematical analysis method based on task time is given. By introducing the idea of edge filling, the algorithm structure, coding, and population update strategy are improved, and an adaptive optimization algorithm is designed. The simulation results show that the above algorithm can improve the model optimization speed and task adaptability, which is suitable for the optimization of multi-UAV cooperative task planning problem.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhuo Cheng, Hui Zhang, and Liqiang Guo "Multi-UAV cooperative task planning based on an improved adaptive simulated annealing and genetic algorithm", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127910N (9 October 2023); https://doi.org/10.1117/12.3004694

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