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
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;
Conference_Titel :
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-5195-1
Electronic_ISBN :
1948-3449
DOI :
10.1109/ICCA.2010.5524023
