Abstract: Feature selection as while as parameter optimization are two important way to improve SVM performance.In order to combine the two different way together to get a better classification effect,an new optimization algorithm based PSO is designed.The new algorithm uses Binary encode,and constructs proper target function to optimize the Feature selection and parameter optimization at the same time.Experiment s show that the new algorithm can quickly and exactly get a better suitable feature subset s and SVM parameters,and get a better classification effect.