Bee Genetic Algorithm Based on Immune Evolution and Chaotic Mutation

Zuo Yong Li; Zheng Jian Zhang; Jia Yang Wang; Lei Zang

doi:10.4028/www.scientific.net/AMM.198-199.1523

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199Bee Genetic Algorithm Based on Immune Evolution...

Bee Genetic Algorithm Based on Immune Evolution and Chaotic Mutation

Abstract:

In order to improve the optimized performance of bee genetic algorithm, this paper proposed the evolution strategy by introducing immune evolution and chaotic mutation into bee genetic algorithm. This algorithm carries out the chaotic mutation to the some individuals with the lower fitness values, meanwhile the crossover and mutation operations were conducted between the some individuals with the higher fitness values and the optimal individual (queen) in population. In addition, the optimal individual in each generation should make iterative calculation by immune evolution. Therefore, as the iterations go on, this algorithm not only converges faster, but also close to the global optimal solution with higher precision.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

1523-1526

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.1523

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Online since:

September 2012

Authors:

Zuo Yong Li, Zheng Jian Zhang, Jia Yang Wang, Lei Zang

Keywords:

Bee Genetic Algorithm, Chaotic Mutation, Crossover Operation, Immune Evolution Algorithm

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DOI: 10.1109/7384.963463

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