Multi-Objective optimization based on surrogate models. Important functions: build_surmodel, train_hego, train_mego, train_sme.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | methods, lhs, ggplot2, dplyr, tidyr, purrr, tibble, DiceKriging, DiceOptim, GPareto, emoa, mco, rgenoud, pso, GenSA |
| Published: | 2019-01-11 |
| Author: | Adriano Passos [aut, cre], Marco Luersen [ctb] |
| Maintainer: | Adriano Passos <adriano.utfpr at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | suropt results |
| Reference manual: | suropt.pdf |
| Package source: | suropt_0.1.1.tar.gz |
| Windows binaries: | r-devel: suropt_0.1.1.zip, r-devel-gcc8: suropt_0.1.1.zip, r-release: suropt_0.1.1.zip, r-oldrel: suropt_0.1.1.zip |
| OS X binaries: | r-release: suropt_0.1.1.tgz, r-oldrel: suropt_0.1.1.tgz |
| Old sources: | suropt archive |
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