Late acceptance hill climbing aided chaotic harmony search for feature selection: An empirical analysis on medical data

Anurup Naskar, Rishav Pramanik, S. K. Sabbir Hossain, Seyedali Mirjalili, Ram Sarkar

Abstract: Highlights•A novel metaheuristic based feature selection method is proposed.•Harmony Search Algorithm is combine with Late Acceptance Hill-Climbing method.•Chaotic map is used to for proper exploration of Harmony Search Algorithm.•Method is applied on many UCI and Microarray based Gene Expression datasets.•Achieved satisfactory results in terms of classification score and feature reduction.