Multi-Objective Kriging Optimization

---

Documentation for package ‘moko’ version 1.0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

Binh	Test functions for optimization
EHVI	EHVI: Constrained Expected Hypervolume Improvement
EI	Constrained Expected Improvement
Fonseca	Test functions for optimization
HEGO	HEGO: Efficient Global Optimization Algorithm based on the Hypervolume criteria
igd	IGD: Inverted Generational Distance
Kursawe	Test functions for optimization
max_EHVI	max_EHVI: Maximization of the Expected Hypervolume Improvement criterion
max_EI	max_EI: Maximization of the Constrained Expected Improvement criterion
MEGO	MEGO: Multi-Objective Efficient Global Optimization Algorithm based on scalarization of the objectives
mkm	Multi-objective Kriging model
mkm-class	A S4 class of multiple Kriging models
moko	moko: Multi-objective Kriging Optimization
MVPF	MVPF: Minimization of the Variance of the Kriging-Predicted Front
nowacki_beam	Test function: The Nowacki Beam
nowacki_beam_tps	True pareto front for the nowacki beam problem
pdist	Distance between vector and matrix
predict	Predictor for a multiobjective Kriging model
predict-method	Predictor for a multiobjective Kriging model
predict_front	Predicted Pareto front
ps	Creates a pareto set from given data
Shaffer1	Test functions for optimization
Shaffer2	Test functions for optimization
show-method	A S4 class of multiple Kriging models
Tchebycheff	Augmented Tchebycheff function
test_functions	Test functions for optimization
Viennet	Test functions for optimization
VMPF	Deprecated function