3D Spatial Path Planning Based on Improved Particle Swarm Optimization

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 p...

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Autori principali:	Junxia Ma, Zixu Yang, Ming Chen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-09-01
Serie:	Future Internet
Soggetti:	Particle Swarm Optimization logistic chaotic mapping dynamic learning factor nonlinear inertia weight path planning
Accesso online:	https://www.mdpi.com/1999-5903/17/9/406
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