Dynamic Function Optimization by Improved Artificial Bee Colony Algorithm

Shuo Jiang

doi:10.4028/www.scientific.net/AMM.556-562.3562

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Dynamic Function Optimization by Improved...

Dynamic Function Optimization by Improved Artificial Bee Colony Algorithm

Abstract:

In this paper, an improved artificial bee colony algorithm (IABC) for dynamic environment optimization has been proposed. As we compared the IABC with greedy algorithm (GA), Particle swarm optimization (PSO) and original artificial bee colony algorithm (ABC), the result of dynamic function optimization shows that the IABC can obtain satisfactory solutions and good tracing performance for dynamic function in time.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

3562-3566

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.3562

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Online since:

May 2014

Authors:

Shuo Jiang*

Keywords:

ABC, Bee Colony Algorithm, Dynamic Function Optimization

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* - Corresponding Author

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