A set of tools for model based optimization and tuning of algorithms. It includes surrogate models, optimizers and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
| Version: | 2.0.2 |
| Depends: | R (≥ 3.0.0) |
| Imports: | randomForest, stats, utils, graphics, grDevices, MASS, DEoptim, rgenoud, rsm, nloptr |
| Suggests: | testthat |
| Published: | 2017-11-30 |
| Author: | Thomas Bartz-Beielstein [aut], Joerg Stork [aut], Martin Zaefferer [aut, cre], Margarita Rebolledo [ctb], Christian Lasarczyk [ctb], Joerg Ziegenhirt [ctb], Wolfgang Konen [ctb], Oliver Flasch [ctb], Patrick Koch [ctb], Martina Friese [ctb] |
| Maintainer: | Martin Zaefferer <martin.zaefferer at gmx.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | SPOT citation info |
| Materials: | NEWS |
| CRAN checks: | SPOT results |
| Reference manual: | SPOT.pdf |
| Package source: | SPOT_2.0.2.tar.gz |
| Windows binaries: | r-devel: SPOT_2.0.2.zip, r-release: SPOT_2.0.2.zip, r-oldrel: SPOT_2.0.2.zip |
| OS X El Capitan binaries: | r-release: SPOT_2.0.2.tgz |
| OS X Mavericks binaries: | r-oldrel: SPOT_2.0.2.tgz |
| Old sources: | SPOT archive |
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