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

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355ZM646 353C646 210 556 50 414 25L385 41L304 27C193 50 128 152 128 282C128 474 254 626 418 626C571 626 646 519 646 353Z" id="g50-82"></path></g></svg>.</span> It consists of nine subsets, one of them contains the optimal solutions, and the rest the nearly optimal ones.</div>

Complexity

fig7

Figure 7

Figure 7: A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA 