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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 257; S. 118633
Hauptverfasser:	Ahmad, Javed, Wahab, Mohd Nadhir Ab, Ramli, Ahmad, Misro, Md Yushalify, Ezza, Wan Zafira, Hasan, Wan Zuha Wan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.01.2026
Schlagworte:	Meta-heuristic optimization algorithm Mobile robots Particle swarm optimization Path planning Swarm intelligence Meta-heuristic optimization algorithm Path planning Swarm intelligence Mobile robots Particle swarm optimization
ISSN:	0263-2241
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!