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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書誌詳細

主要な著者:	Muhammad Haris, Yifang Shi, Haewoon Nam
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2026-01-01
シリーズ:	IEEE Open Journal of Vehicular Technology
主題:	Particle swarm optimization (PSO) inertia weight convergence rate exploration exploitation and path planning
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11535698/
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