Research on scheduling of the RGV system based on QPSO
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 t...
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Published in | IEEE ICCA 2010 pp. 1169 - 1174 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2010
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISBN: | 9781424451951 1424451957 |
ISSN: | 1948-3449 1948-3457 |
DOI: | 10.1109/ICCA.2010.5524023 |