Blood sugar regularization based evolutionary algorithm for data classification

► We proposed a new evolutionary algorithm. ► It mimics the blood sugar regularization mechanism of human body. ► Iris and Wine data sets have successfully been classified by this algorithm. ► Sample complexity and computational complexity of this algorithm is quite less. ► We also applied this proposed algorithm for robot gesture identification problem.