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This work investigates e-ranking and e-box non-domination sorting, two methods that incorporate e-dominance concepts to estimate density of solutions and control the number of rank-1 solution for many-objective optimization. We study how convergence and spread of solutions are affected by rankings that are based on local information of the distribution of solutions without considering closeness-to-dominance...
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