Quality Assessment of Pareto Set Approximations

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A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications (2013, background): “R2 performance measure [82], which estimates the extent to which a certain front approximates another one (the reference set in this case, which was formed with the union of the nondominated sets generated by the four approaches being compared).”
Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization (2014, methodology): “Moreover, in order to have statistically sound conclusions, the Wilcoxon’s rank sum test [83] at a 0.”
A practical guide to multi-objective reinforcement learning and planning (2021, methodology): “It has been widely used in multi-objective evolutionary optimisation [Zitzler et al., 2008] and reinforcement learning [Vamplew et al.”
Performance indicators in multiobjective optimization (2018, methodology): “The support of scaled functions, which enables to compare all objectives in an equivalent way (DM,OS, IOD,∆,Γ).”