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Article

Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization

School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
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Author to whom correspondence should be addressed.
Mathematics 2023, 11(9), 1987; https://doi.org/10.3390/math11091987
Submission received: 17 March 2023 / Revised: 8 April 2023 / Accepted: 20 April 2023 / Published: 23 April 2023

Abstract

The traditional particle swarm optimization algorithm is fast and efficient, but it is easy to fall into a local optimum. An improved PSO algorithm is proposed and applied in 3D path planning of UAV to solve the problem. Improvement methods are described as follows: combining PSO algorithm with genetic algorithm (GA), setting dynamic inertia weight, adding sigmoid function to improve the crossover and mutation probability of genetic algorithm, and changing the selection method. The simulation results show that the improved PSO algorithm solves better route results and is faster and more stable.
Keywords: particle swarm algorithm; UAV; 3D path planning; SHADE algorithm particle swarm algorithm; UAV; 3D path planning; SHADE algorithm

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MDPI and ACS Style

Deng, L.; Chen, H.; Zhang, X.; Liu, H. Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization. Mathematics 2023, 11, 1987. https://doi.org/10.3390/math11091987

AMA Style

Deng L, Chen H, Zhang X, Liu H. Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization. Mathematics. 2023; 11(9):1987. https://doi.org/10.3390/math11091987

Chicago/Turabian Style

Deng, Lixia, Huanyu Chen, Xiaoyiqun Zhang, and Haiying Liu. 2023. "Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization" Mathematics 11, no. 9: 1987. https://doi.org/10.3390/math11091987

APA Style

Deng, L., Chen, H., Zhang, X., & Liu, H. (2023). Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization. Mathematics, 11(9), 1987. https://doi.org/10.3390/math11091987

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