An Improved Hybrid Particle Swarm Optimization Path Planning Algorithm Based on Particle Reactivation

The particle swarm optimization (PSO) path planning algorithm often suffers from low population diversity and rapid early convergence, which can lead to the algorithm easily falling into local optima and affecting its stability. This paper proposes an improved PSO algorithm with two key enhancements...

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Veröffentlicht in:	IAENG international journal of computer science 2024-10, Vol.51 (10), p.1534
Hauptverfasser:	Luo, Yuan, Zhang, Xianfeng, Wu, Jinke
Format:	Artikel
Sprache:	eng
Schlagworte:	Convergence Genetic algorithms Particle swarm optimization Path planning Simulated annealing Stability
Online-Zugang:	Volltext
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