Adaptive Position Updating Particle Swarm Optimization for UAV Path Planning

Junhao Wei, Yanzhao Gu, K. L.Eddie Law, Ngai Cheong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the paper, we propose a path planning method for unmanned aerial vehicles (UAVs) based on an enhanced Particle Swarm Optimization (PSO) algorithm. To address the issue of classical PSO algorithms easily converging to local optima, we introduce a dynamic inertia weight adjustment strategy. Additionally, we incorporate Tent mapping initialization, Levy flight, and adaptive t-distribution to balance both global and local search capabilities. We validate the effectiveness of the improved algorithm through simulations on various benchmark functions and UAV path planning scenarios. Experimental results demonstrate significant enhancements in convergence speed, overall solution accuracy, and stability. Our improved PSO algorithm provides effective solutions for diverse UAV path planning problems in complex environments and lays the foundation for further research on dynamic environments and three-dimensional path planning in future.

Original languageEnglish
Title of host publication2024 22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages124-131
Number of pages8
ISBN (Electronic)9783903176652
Publication statusPublished - 2024
Event22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2024 - Seoul, Korea, Republic of
Duration: 21 Oct 202424 Oct 2024

Publication series

NameProceedings of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt
ISSN (Print)2690-3334
ISSN (Electronic)2690-3342

Conference

Conference22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2024
Country/TerritoryKorea, Republic of
CitySeoul
Period21/10/2424/10/24

Keywords

  • Adaptive
  • Levy flight
  • Particle Swarm Optimization (PSO)
  • path planning
  • unmanned aerial vehicle (UAV)

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