Dispersion Features

The dispersion features compare the dispersion, i.e. the (aggregated) pairwise distances, of all points in the initial design with the dispersion among the best points in the initial design. Per default, this set of “best points” is based on the 2%, 5% and 10% quantile of the objectives. Those dispersions are then compared based on the ratio as well as on the difference.

For a complete overview of the features, please refer to the documentation of calculateFeatureSet.

Literature Reference

Lunacek, M. and Whitley, D. (2014), “The Dispersion Metric and the CMA Evolution Strategy”, in Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, pp. 477—484, ACM (http://dx.doi.org/10.1145/1143997.1144085).