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

Table 1

Analysis of a MOP example with three objectives ( to ) and five possible solutions ( to ).

Solutions
[0 1]	0.2	0.2	0.2
[0.5 0.5]	0.2	0.2	0.2
[0.75 0.75]	0.201	0.201	0.19
[0 0.99]	0.201	0.2	0.199
[0.25 0.75]	1	1	0.15