Vahid Majidnezhad

RLDOS: a novel binary metaheuristic framework with reinforcement learning-driven operator selection for effective feature selection in high-dimensional biomedical data

Experiments show that RLDOS achieves competitive and often improved performance compared with several well-known binary optimizers in terms of classification accuracy, number of selected features, and fitness value.