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期刊论文

Adaptive chaos clonal evolutionary programming algorithm

杜海峰DU Haifeng GONG Maoguo LIU Ruochen & JIAO Licheng

Science in China Ser. F Information Sciences 2005 Vol. 48 No.5 579-595,-0001,():

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摘要/描述

Based on the chaos movement and the clonal selection theory, a novel artificial immune system algorithm, Adaptive Chaos Clonal Evolutionary Programming Algorithm (ACCEP), is proposed in this paper. The new algorithm uses the Logistic Sequence to control the mutation scale and uses the Chaos Mutation Operator to control the clonal selection. Compared with SGA and Clonal Selection Algorithm, ACCEP can enhance the precision and stability, avoid prematurity to some extent, and have the high convergence speed. The results of the experiment indicate that ACCEP has the capability to solve complex machine learning tasks, like Multimodal Function Optimization.

版权说明:以下全部内容由杜海峰上传于   2010年08月27日 14时48分23秒,版权归本人所有。

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