Vehicle Path Planning Method Based on Particle Swarm Optimization Algorithm

Sheng Long Yu; Yu Ming Bo; Zhi Min Chen; Kai Zhu

doi:10.4028/www.scientific.net/AMR.468-471.2745

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Probabilistic Access Based Call Admission Control in Multi-Traffic CDMA System
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Vehicle Path Planning Method Based on Particle...

Vehicle Path Planning Method Based on Particle Swarm Optimization Algorithm

Abstract:

A particle swarm optimization algorithm (PSO) is presented for vehicle path planning in the paper. Particle swarm optimization proposed by Kennedy and Eberhart is derived from the social behavior of the birds foraging. Particle swarm optimization algorithm a kind of swarm-based optimization method.The simulation experiments performed in this study show the better vehicle path planning ability of PSO than that of adaptive genetic algorithm and genetic algorithm. The experimental results show that the vehicle path planning by using PSO algorithm has the least cost and it is indicated that PSO algorithm has more excellent vehicle path planning ability than adaptive genetic algorithm,genetic algorithm.

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Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

2745-2748

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.2745

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Online since:

February 2012

Authors:

Sheng Long Yu, Yu Ming Bo, Zhi Min Chen, Kai Zhu

Keywords:

Genetic Algorithm (GA), Particle Swarm Optimization Algorithm (PSO), Vehicle Path Planning

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