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分布式人工蜂群免疫算法求解函数优化问题

DOI: 10.13195/j.kzyjc.2014.0547, PP. 1181-1188

Keywords: 人工蜂群算法,免疫克隆选择,启发式高斯搜索,函数优化

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Abstract:

为了克服人工蜂群算法由于开发能力较弱而导致收敛速度慢、搜索精度不高等缺点,结合子蜂群思想和免疫克隆选择算法,提出一种基于分布式精英进化模型的人工蜂群免疫算法.首先对外层子蜂群进行启发式快速人工蜂群操作以提高收敛速度;然后对内层精英蜂群进行免疫克隆选择操作,进一步提高了算法的收敛精度和全局搜索能力.仿真结果表明了该算法在求解函数优化问题上的有效性和优越性.

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