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### 基于克隆选择的差分进化算法及其在SVM中的应用

1. 华东理工大学信息科学与工程学院 上海200237,华东理工大学信息科学与工程学院 上海200237,华东理工大学信息科学与工程学院 上海200237
• 出版日期:2018-11-14 发布日期:2018-11-14

### Differential Evolution Algorithm Based on Clonal Selection and its Application in SVM

SHENG Ming-ming, HUANG Hai-yan and ZHAO Yu

• Online:2018-11-14 Published:2018-11-14

Abstract: The parameters of support vector machine (SVM) are important factors affecting its performance.However,the absence of a mature theory about the kernel parameter selection of SVM heavily affects its wide application.This paper introduced clonal selection algorithm into differential evolution algorithm,and improved the strategies of basic clonal selection algorithm and differential evolution algorithm.Through combining the two algorithms mentioned above,a differential evolution algorithm based on clonal selection was proposed and applied to optimize the parameters of SVM kernel.The test results show that the algorithm can not only effectively avoid the premature-convergence problem of differential evolution algorithm,but also significantly improve the optimization ability.UCI wine database application data show that the algorithm can accelerate the parameter search speed,and improve the prediction accuracy and genera-lization ability of SVM.The high accuracy of classification and better generalization performance prove that using clonalselection differential evolution algorithm is a good way to optimize SVM kernel parameter.

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