A database of (approximately) optimal experimental designs
Editor: Jeffrey M. Hokanson
Introduction
Space-filling experimental designs pose notoriously difficult optimization problems. Here we collect the best known current designs for the dual purpose of
- providing experimentalists with precomputed near-optimal designs and
- a benchmark for the performance of new algorithms for constructing experimental designs.
Visualizations of these designs can be seen at my website.
Related Work
- Packomania: an extensive resource for sphere packing (analogous to maximin design
- Space-filling designs: a database of designs with many maximin designs
Contributing
I welcome other researchers to submit new experimental designs. To submit a design issue a pull request in the directory corresponding to the type of design constructed. For example, to submit a 40-point minimax design using the l2-metric on the unit-square add a file
designs/minimax/l2/square_0040.json
This file should be in json
format with the following fields:
X
Coordinates for the designobjective
the design criteria used, in this caseminimax
metric
the distance metric used, in this casel2
domain
the space on which the design is constructed, in this casesquare
radius
the radius of the discs covering the domain (a.k.a. dispersion, fill-distance)author
who submitted the designnotes
(optional) notes for reproducing the design
When a pull request is issued,
Travis-CI will check the submitted design
verifying that design has the right number of points
and radius
value is correct.
In addition, these checks will also check that the new designs
are better than the ones that are being replaced.