An Improved Particle Swarm Optimization Based on Repulsion Factor

DOI: 10.4236/ojapps.2012.24B027   PDF   HTML     3,034 Downloads   4,612 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.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.

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