A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA

Figure 11

Boxplots for benchmark 2, comparing nevMOGA, random search, and exhaustive search. (a) measures the approximation of the outcome set toward the Pareto front. (b) measures the approximation of the outcome set toward the Pareto set. The most significant values are shown in Table 4.

(a)

(b)