Discontinuous flying particle swarm optimization algorithm and its application to slope stability analysis

A new version of particle swarm optimization (PSO) called discontinuous flying particle swarm optimization (DFPSO) was proposed, where not all of the particles refreshed their positions and velocities during each iteration step and the probability of each particle in refreshing its position and velo...

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Bibliographic Details
Published in:Journal of Central South University of Technology. Science & technology of mining and metallurgy 2010-08, Vol.17 (4), p.852-856
Main Authors: Li, Liang, Yu, Guang-ming, Chen, Zu-yu, Chu, Xue-song
Format: Article
Language:English
Subjects:
Engineering
Metallic Materials
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Summary:A new version of particle swarm optimization (PSO) called discontinuous flying particle swarm optimization (DFPSO) was proposed, where not all of the particles refreshed their positions and velocities during each iteration step and the probability of each particle in refreshing its position and velocity was dependent on its objective function value. The effect of population size on the results was investigated. The results obtained by DFPSO have an average difference of 6% compared with those by PSO, whereas DFPSO consumes much less evaluations of objective function than PSO does.
ISSN:1005-9784
1993-0666
DOI:10.1007/s11771-010-0566-5