3D Spatial Path Planning Based on Improved Particle Swarm Optimization

Junxia Ma (), Zixu Yang () and Ming Chen
Additional contact information
Junxia Ma: College of Software Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China
Zixu Yang: Anhui Houpu Digital Technology Co., Ltd., Hefei 230000, China
Ming Chen: School of Mathematics and Computer Science, Tongling University, Tongling 244061, China

Future Internet, 2025, vol. 17, issue 9, 1-21

Abstract: Three-dimensional path planning is critical for the successful operation of unmanned aerial vehicles (UAVs), automated guided vehicles (AGVs), and robots in industrial Internet of Things (IIoT) applications. In 3D path planning, the standard Particle Swarm Optimization (PSO) algorithm suffers from premature convergence and a tendency to fall into local optima, leading to significant deviations from the optimal path. This paper proposes an improved PSO (IPSO) algorithm that enhances particle diversity and randomness through the introduction of logistic chaotic mapping, while employing dynamic learning factors and nonlinear inertia weights to improve global search capability. Experimental results demonstrate that IPSO outperforms traditional methods in terms of path length and computational efficiency, showing potential for real-time path planning in complex environments.

Keywords: Particle Swarm Optimization; logistic chaotic mapping; dynamic learning factor; nonlinear inertia weight; path planning (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/17/9/406/pdf (application/pdf)
https://www.mdpi.com/1999-5903/17/9/406/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:17:y:2025:i:9:p:406-:d:1743409

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().