Hypervolume Approximation (MEX)

Version 1.0.0.0 (2.67 KB) by Simone
Fast Monte Carlo approximation of the hypervolume of a set of points.
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Updated 23 Oct 2015

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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'.

Cite As

Simone (2026). Hypervolume Approximation (MEX) (https://ch.mathworks.com/matlabcentral/fileexchange/53655-hypervolume-approximation-mex), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Acknowledgements

Inspired by: Pareto filtering, Hypervolume approximation

Version Published Release Notes
1.0.0.0

Image in the description added.