presenting a simple framework for generating normal distributed performance samples and identifying Non-dominated solutions for a high variety of different settings
Simple function that computes the ratio of non dominated solutions for a normal distributed set of performances. it can be used to evaluate pareto front in higher dimensions (for normal distrubuted observations in N-dimensions).
NDS_counter(N,D,dist) where #N = number of observations #D = number of dimensions #dist = 0 for uniform distribution #dist = 1 for normal distribution
Only package dependency is Numpy