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moko  

Multi-Objective Kriging Optimization
View on CRAN: Click here


Download and install moko package within the R console
Install from CRAN:
install.packages("moko")

Install from Github:
library("remotes")
install_github("cran/moko")

Install by package version:
library("remotes")
install_version("moko", "1.0.3")



Attach the package and use:
library("moko")
Maintained by
Adriano Passos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-17
Latest Update: 2020-06-02
Description:
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) .
How to cite:
Adriano Passos (2016). moko: Multi-Objective Kriging Optimization. R package version 1.0.3, https://cran.r-project.org/web/packages/moko. Accessed 23 Apr. 2025.
Previous versions and publish date:
1.0.0 (2016-09-17 03:09), 1.0.1 (2017-07-06 00:20), 1.0.2 (2020-02-03 21:30), 1.0.3 (2020-06-02 17:50)
Other packages that cited moko R package
View moko citation profile
Other R packages that moko depends, imports, suggests or enhances
Functions, R codes and Examples using the moko R package
Some associated functions: EHVI . EI . HEGO . MEGO . MVPF . Tchebycheff . igd . max_EHVI . max_EI . mkm-class . mkm . moko . nowacki_beam . nowacki_beam_tps . package-deprecated . pdist . predict-mkm-method . predict_front . ps . test_functions . 
Some associated R codes: mkm.R . moko.R . optim_hego.R . optim_mego.R . optim_vmpf.R . ps.R . ps_metrics.R . test_functions.R . utils.R .  Full moko package functions and examples
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