Non-Dominated Sorting Social Group Optimization Algorithm for Multi-Objective Optimization

Abstract

In this paper, authors have proposed a posterior multi-objective optimization algorithm named Non-dominated Sorting Social Group Optimization (NSSGO) for multi-objective optimization. ‘Non-dominated Sorting’ is the technique of sorting the population into several non-domination levels and ‘Crowding Distance’ is a concept used for maintaining diversity among the current best solutions. The algorithm acquires the combined concept of both. The proposed algorithm was simulated on a set of multi-objective CEC 2009 functions and competitive results were obtained.