Submit

Login Login

Register Register

Home / Journals / CMC / Online First / doi:10.32604/cmc.2025.061268
Journal Menu
Special Issues
Table of Content

All issues

Online First

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

Open Access

ARTICLE

UAV 3D Path Planning Based on Improved Chimp Optimization Algorithm

Wenli Lei1,2,*, Xinghao Wu1,2, Kun Jia1,2, Jinping Han1,2
1 School of Physics and Electronic Information, Yan’an University, Yan’an, 716000, China
2 Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data, Yan’an, 716000, China
* Corresponding Author: Wenli Lei. Email: email

Computers, Materials & Continua https://doi.org/10.32604/cmc.2025.061268

Received 20 November 2024; Accepted 06 March 2025; Published online 09 April 2025

Abstract

Aiming to address the limitations of the standard Chimp Optimization Algorithm (ChOA), such as inadequate search ability and susceptibility to local optima in Unmanned Aerial Vehicle (UAV) path planning, this paper proposes a three-dimensional path planning method for UAVs based on the Improved Chimp Optimization Algorithm (IChOA). First, this paper models the terrain and obstacle environments spatially and formulates the total UAV flight cost function according to the constraints, transforming the path planning problem into an optimization problem with multiple constraints. Second, this paper enhances the diversity of the chimpanzee population by applying the Sine chaos mapping strategy and introduces a nonlinear convergence factor to improve the algorithm’s search accuracy and convergence speed. Finally, this paper proposes a dynamic adjustment strategy for the number of chimpanzee advance echelons, which effectively balances global exploration and local exploitation, significantly optimizing the algorithm’s search performance. To validate the effectiveness of the IChOA algorithm, this paper conducts experimental comparisons with eight different intelligent algorithms. The experimental results demonstrate that the IChOA outperforms the selected comparison algorithms in terms of practicality and robustness in UAV 3D path planning. It effectively solves the issues of efficiency in finding the shortest path and ensures high stability during execution.

Keywords

UAV; path planning; chimp optimization algorithm; chaotic mapping; adaptive weighting

  • 231

    View

  • 90

    Download

  • 0

    Like

Related articles
Copyright© 2025 Tech Science Press
© 1997-2025 TSP (Henderson, USA) unless otherwise stated

Share Link