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Particle swarm optimization algorithm driven by multichaotic number generator
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DOI：10.1007/s00500-014-1222-z.png)
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Abstract
En 中文
In this paper, the utilization of different chaotic systems as pseudo-random number generators (PRNGs) for velocity calculation in the PSO algorithm are proposed. Two chaos-based PRNGs are used alternately within one run of the PSO algorithm and dynamically switched over when a certain criterion is met. By using this unique technique, it is possible to improve the performance of PSO algorithm as it is demonstrated on different benchmark functions.
Keywords:
Particle swarm
Optimization
Swarm intelligence
Chaos
Evolutionary algorithms
Journal
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2.5
Papers:
1.0W
Citations:
2.1W