Benchmark Results - Problem U2
I. Problem Description
A. Overall Approach
Vector components are drawn from a standard normal distribution \(\mathcal{N}(0, 1)\).
B. Visualization
This image shows problem U2 with size parameter \(s=2\) (thus \(d=2\), \(n=200\), \(k=20\), \(m=0\)):
The image below shows an example solution, obtained by using the DEFAULT solver preset over 10.000 iterations
using the L2 distance metric and the geomean_separation diversity metric:
C. Separation statistics
The image below shows distribution of vector separations (distances to nearest neighbor for all vectors in the population), for different problem sizes:
