moko: Multi-Objective Kriging Optimization

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: 1.0.2
Depends: R (≥ 3.3.0)
Imports: DiceKriging (≥ 1.5.5), DiceOptim (≥ 1.5), 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: 2020-02-03
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

Downloads:

Reference manual: moko.pdf
Vignettes: Multiobjective Optimization of the Nowacki Beam
Package source: moko_1.0.2.tar.gz
Windows binaries: r-devel: moko_1.0.2.zip, r-devel-gcc8: moko_1.0.2.zip, r-release: moko_1.0.2.zip, r-oldrel: moko_1.0.2.zip
OS X binaries: r-release: moko_1.0.2.tgz, r-oldrel: moko_1.0.2.tgz
Old sources: moko archive

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