Understanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations

Table 2

Number of solutions in the Pareto optimal set and nondominated fronts in the landscapes with , and 6 objectives. Also, fraction of / (in %) for various population sizes investigated in this study. A — indicates that for the corresponding combination of and , no experiments were performed.

			/ (%)
			50	100	200	500	1000	2000	4000	5600
3	152	258	32.9	65.8	132.6	—	—	—	—	—
4	1,554	76	3.2	6.4	12.9	32.2	64.4	—	—	—
5	6,265	29	0.8	1.6	3.2	—	—	31.9	63.8	-
6	16,845	22	0.3	0.6	1.2	—	—	—	—	33.2