Multi-Objective Kriging Optimization


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Documentation for package ‘moko’ version 1.0.3

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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