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

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

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 gene...

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Bibliographic Details
Main Authors: Chen, H. (Author), Deng, L. (Author), Liu, H. (Author), Zhang, X. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
3D path planning
particle swarm algorithm
SHADE algorithm
UAV
Online Access:View Fulltext in Publisher
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Description
Summary: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. © 2023 by the authors.
ISBN:22277390 (ISSN)
DOI:10.3390/math11091987

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