免疫多克隆策略
Immunity Poly-Clonal Strategies
-
摘要: 基于细胞克隆选择学说 ,系统阐述了用于人工智能的多克隆算子 将多克隆算子用于进化算法 ,提出了改进的进化策略算法———免疫多克隆策略算法 ,并基于Markov链的有关性质 ,证明了该算法的收敛性 理论分析和仿真实验表明 ,与传统的进化策略算法相比 ,该算法有效克服了早熟问题 ,保持了抗体的多样性 ,而且收敛速度快Abstract: Based on the clonal selection theory the main mechanisms of clone used in the field of artificial intelligence are analyzed in this paper An improved evolutionary strategies algorithm, immunity poly clonal strategy algorithm (IPSA), is put forward Compared with the classical evolutionary strategies (CES), IPSA is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi objective optimization, and the results are better Using the theories of Markov chain, it is proved that IPSA is convergent
下载: