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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://se.mathworks.com/matlabcentral/fileexchange/53655-hypervolume-approximation-mex), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Pareto filtering, Hypervolume approximation
General Information
- Version 1.0.0.0 (2.67 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | Image in the description added. |
