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: 1.0.3
Depends: R (≥ 3.3.0)
Imports: DiceKriging (≥ 1.5.5), GenSA (≥ 1.1.6), emoa (≥ 0.5.0), mco (≥, 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>
License: GPL-3
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:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): moko_1.0.3.tgz, r-oldrel (arm64): moko_1.0.3.tgz, r-release (x86_64): moko_1.0.3.tgz, r-oldrel (x86_64): moko_1.0.3.tgz
Old sources: moko archive


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