DocumentCode
3214803
Title
Research on scheduling of the RGV system based on QPSO
Author
Luo, Jian ; Wu, Chang-qing ; Hong, Wen-cai ; Cheng, Yong ; Xu, San-yao
Author_Institution
Dept. of Autom., Xiamen Univ., Xiamen, China
fYear
2010
fDate
9-11 June 2010
Firstpage
1169
Lastpage
1174
Abstract
This paper presents an improved quantum behaved particle swarm optimization (QPSO) algorithm for rail guided vehicles system (RGV). First, a model of RGV system that using interleaving is proposed. Then an optimization methods based on QPSO is proposed , and a Gaussian mutation operator is defined to improve the algorithm´s local convergence ability. The feasibility and effectiveness of proposed approach is illustrated by the simulation experiment.
Keywords
Gaussian processes; particle swarm optimisation; railways; scheduling; Gaussian mutation operator; QPSO; RGV system; quantum behaved particle swarm optimization; rail guided vehicles system; scheduling; Automation; Buffer storage; Intelligent vehicles; Interleaved codes; Optimization methods; Particle swarm optimization; Remotely operated vehicles; Routing; Scheduling algorithm; System recovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location
Xiamen
ISSN
1948-3449
Print_ISBN
978-1-4244-5195-1
Electronic_ISBN
1948-3449
Type
conf
DOI
10.1109/ICCA.2010.5524023
Filename
5524023
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