An Efficient Chaotic Gradient-Based Optimizer for Feature Selection
In many applications, selecting the optimal features is a difficult task.Numerous In School Supplies optimization problems, e.g., feature selection (FS) problem, have been solved using optimization algorithms.In this paper, the most discriminating features were chosen using a new chaotic gradient-based optimizer (CGBO) that combines chaotic maps wi