由于遗传算法具有隐含的并行性和强大的全局搜索能力,可以在很短的时间内搜索到全局最优点。使用GA对SVM进行参数的优化,寻找最优的惩罚因子和SVM中RBF参数的组合。结合RBF参数r和惩罚因子C, 可以得到需要优化的参数组合。希望对大家有用！-Genetic algorithm with implicit parallelism and powerful global search capability, you can search within a very short period of time to the global optimum. GA parameter optimization of SVM, to find the optimal penalty factor and SVM RBF parameter combinations. Combination of the the RBF parameters of r and the penalty factor C, can be a combination of parameters that need to be optimized. I hope useful for all of us!