Abstract: This research presents a comprehensive and rigorous performance evaluation of four leading metaheuristic algorithms: Genetic Algorithm (GA), Tabu Search (TS), Simulated Annealing (SA), and ...

Abstract: Feature selection is one of the major challenges in machine learning problems. It reduces the number of features and improves performance by removing the irrelevant and unnecessary ones.