A Novel Behavior Fusion Method for Intelligent Vehicle Routing Planning

Hua Jin; Tao Ning; Bo Yin

doi:10.4028/www.scientific.net/AMM.644-650.363

Paper Titles

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The Design of Sewage Ultraviolet Ray Disinfection Control System Based on WSN
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Adaptive Stable Control for Chaos Systems by New Fuzzy Inference Systems without Any Rule Base
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650A Novel Behavior Fusion Method for Intelligent...

A Novel Behavior Fusion Method for Intelligent Vehicle Routing Planning

Abstract:

In order to improve the convergence of VRP, a novel method is proposed on the basis of behavior fusion and quantum particle swarm optimization (QPSO).The external information which has been obtained through multi-sensor is divided into several sub-phase particle swarm according to the character of optimal variable. It can be seen from the experimental result that the novel QPSO can enhance the security of obstacle avoidance and improve the convergence reliability and convergence speed in the high-dimensional search space. Finally, the proposed method is compared with the existing algorithms and the results verified its effectiveness.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

363-366

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.363

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Online since:

September 2014

Authors:

Hua Jin, Tao Ning, Bo Yin

Keywords:

Behavior Fusion, Convergence Speed, Obstacle Avoidance

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