Aparna Bondade

An Adaptive PSO–GA Hybrid Optimization with Diversity-Aware and Stagnation-Resistant Mathematical Framework for SVR

Support Vector Regression (SVR) is a reliable and generalizable model for non-linear regression, but its performance depends strongly on selecting proper hyperparameters such as the penalty parameter $C$, kernel width $\gamma$, and the $\epsilon$-insensitive loss. Because the SVR objective is highly nonconvex with a mu...