SPGD: Steepest Perturbed Gradient Descent Optimization

Amir M. Vahedi, Horea T. Ilies

Optimization algorithms are pivotal in advancing various scientific and industrial fields but often encounter obstacles such as trapping in local minima, saddle points, and plateau…