Multi-Objective optimization based on the Kriging metamodel. Important functions: mkm() (builder for the multiobjective models), MVPF() (sequential minimizator using variance reduction), MEGO() (generalization of ParEgo) and HEGO() (minimizator using the expected hypervolume improvement). References are Passos and Luersen (2018) <doi:10.1590/1679-78254324>.
| Version: | 1.0.3 |
| Depends: | R (≥ 3.3.0) |
| Imports: | DiceKriging (≥ 1.5.5), GenSA (≥ 1.1.6), emoa (≥ 0.5.0), mco (≥ 1.0.15.1), GPareto (≥ 1.0.2), methods (≥ 3.0.0) |
| Suggests: | knitr, lhs |
| Published: | 2020-06-02 |
| Author: | Adriano Passos [aut, cre], Marco Luersen [ctb] |
| Maintainer: | Adriano Passos <adriano.utfpr at gmail.com> |
| BugReports: | https://github.com/coldfir3/moko/issues |
| License: | GPL-3 |
| URL: | https://github.com/coldfir3/moko |
| NeedsCompilation: | no |
| CRAN checks: | moko results |
| Reference manual: | moko.pdf |
| Vignettes: |
Multiobjective Optimization of the Nowacki Beam |
| Package source: | moko_1.0.3.tar.gz |
| Windows binaries: | r-devel: moko_1.0.3.zip, r-release: moko_1.0.3.zip, r-oldrel: moko_1.0.3.zip |
| macOS binaries: | r-release: moko_1.0.3.tgz, r-oldrel: moko_1.0.3.tgz |
| Old sources: | moko archive |
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