A comprehensive comparison of accuracy-based fitness functions of metaheuristics for feature selection

Health-Related Data Analysis Using Metaheuristic Optimization and Machine Learning

“…The number of generations or iterations updates the population of solutions and finally, the one with good fitness is selected as the optimal solution. The algorithms perform adequately at avoiding local optima [6][42] [43].…”