关键词: 供应链, 绩效评价, 支持向量机（SVM）, 遗传算法（GA）, 特征选择

Abstract: This paper studies performance evaluation of supply chain based on Genetic Algorithm（GA） and Support Vector Machine（SVM）.A simultaneous feature selection and SVM parameter optimization algorithm based on GA is used to solve the performance evaluation problem of supply chain.The study shows that important attributes that influence the performance of supply chain are extracted and the complexity of the performance evaluation model of the supply chain is reduced.The numerical exam-ple demonstrates that the result of the performance evaluation of supply chain based on GA and SVM is superior to standard SVM.

Key words: supply chain, performance evaluation, Support Vector Machine（SVM）, Genetic Algorithm（GA）, feature selection