| 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 |