Immunity mix algorithm based on the continuous differential function

Liu Fang, Y. Chengyong
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Abstract

Based on the immunity clone strategy (ICS) and continue differential functions. Immunity mix algorithm (IMA) is brought forward in this paper. IMA mostly makes use of the advantages of classical optimization searches, and speedup the convergence. Astringency of ICOA is proved with the analysis process of genetic algorithm's astringency. The advantage and disadvantage of immunity clone strategies is analyzed in this paper. Theories and experiments show that the speed of convergence of IMA is high.
基于连续微分函数的免疫混合算法
基于免疫克隆策略(ICS)和连续差分函数。本文提出了免疫混合算法(IMA)。IMA主要利用了经典优化搜索的优点,加快了收敛速度。通过对遗传算法收敛性的分析,证明了ICOA的收敛性。本文分析了免疫克隆策略的优缺点。理论和实验表明,该算法具有较快的收敛速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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