Monte Carlo approximation of the hypervolume of a set of points F.
The algorothm generates random samples in the hypercuboid defined by two reference points, namely the utopia and antiutopia, and counts the number of points dominated by F. The hypervolume is approximated as the ratio 'dominated points / total points'.
引用格式
Simone (2024). Hypervolume Approximation (MEX) (https://www.mathworks.com/matlabcentral/fileexchange/53655-hypervolume-approximation-mex), MATLAB Central File Exchange. 检索来源 .
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