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Composite Inertia Weighted APSO for Autonomous Vehicle Path Planning

Efficient path planning is essential for autonomous vehicle navigation. This paper proposes a Composite Inertia Weighted Adaptive Particle Swarm Optimization (APSO) algorithm to improve convergence reliability and solution quality. The proposed method introduces a non linear inertia weight update me...

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Autori principali: Muhammad Haris, Yifang Shi, Haewoon Nam
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2026-01-01
Serie:IEEE Open Journal of Vehicular Technology
Soggetti:
Particle swarm optimization (PSO)
inertia weight
convergence rate
exploration
exploitation
and path planning
Accesso online:https://ieeexplore.ieee.org/document/11535698/
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