CRAN/E | moko

moko

Multi-Objective Kriging Optimization

Installation

About

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.

github.com/coldfir3/moko
Bug report File report

Key Metrics

Version 1.0.3
R ≥ 3.3.0
Published 2020-06-02 1427 days ago
Needs compilation? no
License GPL-3
CRAN checks moko results

Downloads

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Maintainer

Maintainer

Adriano Passos

adriano.utfpr@gmail.com

Authors

Adriano Passos

aut / cre

Marco Luersen

ctb

Material

Reference manual
Package source

Vignettes

Multiobjective Optimization of the Nowacki Beam

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

moko archive

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