Extensive Particle Swarm Artificial Bee Colony Algorithm for Function Optimization

Zhen Yuan; Ya Zhou; Wei Lan Zhong; Li Zhou

doi:10.4028/www.scientific.net/AMM.496-500.1808

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 496-500Extensive Particle Swarm Artificial Bee Colony...

Extensive Particle Swarm Artificial Bee Colony Algorithm for Function Optimization

Abstract:

An extensive particle swarm artificial bee colony algorithm is proposed, which integrates the global best solution into the solution search equation of artificial bee colony to improve the exploitation. The memory weight and neighborhood dynamic step are introduced to keep the balance between the global search and local search, and to improve the search accuracy. Particle swarm optimization is embedded into the modified algorithm for on-line parameter optimizing. The simulations have shown that the new algorithm outperforms the ABC algorithm on search accuracy, convergence rate and global search capability. It has been found many applications in optimization of manufacturing and design process.

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Periodical:

Applied Mechanics and Materials (Volumes 496-500)

Pages:

1808-1811

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.1808

Citation:

Cite this paper

Online since:

January 2014

Authors:

Zhen Yuan*, Ya Zhou, Wei Lan Zhong, Li Zhou

Keywords:

Artificial Bee Colony, Design, Global Best Solution, Manufacturing, Optimization, Particle Swarm

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* - Corresponding Author

References

[1] G. P. Zhu and S. Kwong: Applied Mathematics and Computation Vol. 217 (2010) No. 7, pp.3166-3173.

Google Scholar

[2] J. X. Liu, Z. H. Jia, X. Z. Qin, C. Chang and H. Wang: Computer Engineering and Applications Vol. 49 (2013) No. 7, pp.119-122.

Google Scholar

[3] Y. Zhou, X. T. Zhang and L. Zhou: International Conference on Computer, Control, Education and Management (Dubai, United Arab Emirates, July 21-22, 2012) Vol. 27 (2012), pp.39-44.

Google Scholar

[4] D. Karaboga and B. Akay: Applied Mathematics and Computation Vol. 214 (2009) No. 1, pp.108-132.

Google Scholar