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An Improved Particle Swarm Optimization Based on Repulsion Factor

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DOI: 10.4236/ojapps.2012.24B027    1,909 Downloads   3,281 Views   Citations

ABSTRACT

In this paper, through the research of advantages and disadvantages of the particle swarm optimization algorithm, we get a new improved particle swarm optimization algorithm based on repulsion radius and repulsive factor. And a lot of test function experimental results show that the algorithm can effectively overcome the PSO algorithm precocious defect. PSO has significant improvement.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Zhang, J. , Fan, C. , Liu, B. and Shi, F. (2012) An Improved Particle Swarm Optimization Based on Repulsion Factor. Open Journal of Applied Sciences, 2, 112-115. doi: 10.4236/ojapps.2012.24B027.

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