Multi-UAV trajectory planning based on differential evolution of Levy flights particle swarm optimization

Qi Tang; Ji-yang Dai; Jin Ying; Guo-hui Wu

doi:10.1117/12.2681541

1 June 2023 Multi-UAV trajectory planning based on differential evolution of Levy flights particle swarm optimization

Qi Tang, Ji-yang Dai, Jin Ying, Guo-hui Wu

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 127182K (2023) https://doi.org/10.1117/12.2681541
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

Multi-UAV cooperative trajectory planning model with a complex battlefield environment is difficult to establish, and the solution is complex. Aiming at these problems, a more realistic optimal combination model is established, and a particle swarm optimization with based on levy flight and differential evolution (LFPSO-DE) algorithm based on embedded Levy flight strategy is proposed. First, this work establishes a multi-UAV cooperative trajectory planning problem model in a complex environment, and establishes a comprehensive cost function to represent the complex environment; Secondly, aiming at the problem that the PSO algorithm is easy to fall into the local extremum, the Levy flight strategy is introduced to improve the particle swarm position update formula, and the inertia weight and learning factor are optimized, and then combined with the improved DE algorithm, the convergence speed and accuracy of the particle swarm are improved , while enabling the algorithm to have a better ability to explore; Finally, LFPSO-DE algorithm is compared with other algorithms in a variety of test functions, and then applied to multi-UAV trajectory planning experiments. The experimental results show that the LFPSO-DE algorithm has a good convergence speed and can effectively deal with the problem of falling into a local extremum. The planned trajectory is better in terms of voyage, speed, and time-consuming voyage, which has practical application value.

Citation Download Citation

Qi Tang, Ji-yang Dai, Jin Ying, and Guo-hui Wu "Multi-UAV trajectory planning based on differential evolution of Levy flights particle swarm optimization", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 127182K (1 June 2023); https://doi.org/10.1117/12.2681541

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KEYWORDS

Unmanned aerial vehicles

Particles

Particle swarm optimization

Algorithm testing

Computer simulations

Chromium

Defense systems

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