Improvement of PSO Algorithm Based on Brown Motion and its Applications to Adaptive Filter

Xiao Song Shen; Jie Zhang

doi:10.4028/www.scientific.net/AMR.694-697.2695

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Improvement of PSO Algorithm Based on Brown Motion...

Improvement of PSO Algorithm Based on Brown Motion and its Applications to Adaptive Filter

Abstract:

In this paper, the Brown motion PSO is proposed to deal with the slow convergence, low precision and local optimal problem of the Particle Swarm Optimization (PSO) algorithm in solving the complex functions. The wave operator is designed, which is similar to the differential mutation operator, to improve the particle velocity formula. The new algorithm is applied in the design of the adaptive filter; Experiments results show that the new algorithm has the faster convergence than the traditional PSO algorithm, and it has the better stability.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

2695-2698

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.2695

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Online since:

May 2013

Authors:

Xiao Song Shen, Jie Zhang

Keywords:

Adaptive Filter, Brown Motion, Particle Swarm Optimization (PSO)

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References

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