Abstract
In this work, we analyze the functionality transition in the
evolution process of NSGA-II and an enhanced NSGA-II with the method of controling dominance area of solutions (CDAS) from the viewpoint of front distribution. We examine the relationship between the population of the 1st front consisting of non-dominated solutions and the values of two metrics, NORM and ANGLE, which measure diversity and convergence of Pareto-optimal solutions (POS), respectively. We also suggest potentials to further improve the search performance of the enhanced NSGA-II with CDAS by emphasizing the parameter S, whcih controls the degree of dominance by contracting or expanding the dominance area of solutions, before and after the boundary generation of functionality transition. Furthermore, we analyze the behavior of the evolution for the best parameters combination.
