Bee Immune Evolutionary Algorithm

Abstract:

The bee immune evolutionary algorithm was proposed in order to improve effectively the optimal ability of bee evolutionary genetic algorithm. In the evolutionary process of bee, the algorithm made on immune evolutionary iteration calculation, generate next-generation population, in the proportions of fitness values for the best individual and second-best individuals in each generation. Because the algorithm takes in the neighborhood of space search as well out the neighborhood of space search for the some optimal individuals, meanwhile, with iterative numbers increase, capability of local search can be strengthened gradually; the bee immune evolutionary algorithm can approach the global optimal solution with higher accuracy. The calculated results for typical best functions show that the bee immune evolutionary algorithm has better optimal capability and stability.

• Periodical: Advanced Materials Research (Volumes 268-270)
• Pages: 1184-1187
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.268-270.1184
• Online since: July 2011
• Authors: Zuo Yong Li, Chun Xue Yu, Lei Zang
• Keywords: Bee, Bee Evolutionary Genetic Algorithm, Bee Immune Evolutionary Algorithm, Immune Evolutionary Algorithm, Testing Function

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