Enhancing performance of global path planning for mobile robot through Alpha–Beta Guided Particle Swarm Optimization (ABGPSO) algorithm

Efficient path planning is essential for mobile robots to navigate from a start to a goal position while avoiding obstacles. Particle Swarm Optimization (PSO) is widely used due to its strong search capabilities, but its standard form suffers from slow convergence and local optima trapping, limiting...

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Bibliographic Details

Main Authors:	Ahmad, Javed, Ab Wahab, Mohd Nadhir, Ramli, Ahmad, Misro, Md Yushalify, Ezza, Wan Zafira, Wan Hasan, Wan Zuha
Format:	Article
Language:	en
Published:	Elsevier B.V. 2025
Subjects:	Instrumentation Electrical and Electronic Engineering
Online Access:	http://psasir.upm.edu.my/id/eprint/122523/1/122523.pdf http://psasir.upm.edu.my/id/eprint/122523/ https://linkinghub.elsevier.com/retrieve/pii/S026322412501992X
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