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) .


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install.packages("moko")

1.0.3 by Adriano Passos, a year ago


https://github.com/coldfir3/moko


Report a bug at https://github.com/coldfir3/moko/issues


Browse source code at https://github.com/cran/moko


Authors: Adriano Passos [aut, cre] , Marco Luersen [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports DiceKriging, GenSA, emoa, mco, GPareto, methods

Suggests knitr, lhs


See at CRAN