Man pages for MaOEA
Many Objective Evolutionary Algorithm
| AdaptiveNormalization | Objective space normalization. |
| cmaes_gen | Generator for cmaes_gen class. |
| compute_R2HV | Modified powered tchebyscheff R2-indicator designed to... |
| compute_R2HVC | Modified tchebyscheff R2-indicator contribution designed to... |
| compute_R2mtch | Modified tchebyscheff R2-indicator |
| createWeights | Das and Dennis's structured weight generation, normal... |
| createWeightsSobol | Sobol sequence weights |
| DTLZ1 | The DTLZ1 test function. |
| DTLZ2 | The DTLZ2 test function. |
| DTLZ3 | The DTLZ3 test function. |
| DTLZ4 | The DTLZ4 test function. |
| EvaluateIndividual | Evaluate objective values of a single individual |
| EvaluatePopulation | Evaluate objective value of a set of individuals |
| GetHVContribution | Get HV contribution of all points. |
| GetHypervolume | Compute hypervolume |
| GetIGD | Get IGD value |
| GetLeastContribution | Get least HV contribution |
| GetLeastContributor | Get least HV contributor |
| InitializePopulationLHS | Initialize population with Latin Hypercube Sampling |
| install_python_dependencies | Install python modules required by MaOEA: numpy and PyGMO |
| load_python_dependencies | Install python modules required by MaOEA: numpy and PyGMO |
| MaOEA-package | Many-Objective Evolutionary Algorithm |
| MOCMAES | Multi-Objective CMA-ES |
| Normalize | Objective space normalization. |
| NSGA3 | Elitist Non-dominated Sorting Genetic Algorithm version III |
| optimMaOEA | Elitist Non-dominated Sorting Genetic Algorithm version III |
| SMOCMAES | Steady-state Multi-Objective CMA-ES |
| SMSEMOA | S-Metric Selection EMOA |
| WFG1 | The WFG1 test function. |
| WFG2 | The WFG2 test function. |
| WFG4 | The WFG4 test function. |
| WFG5 | The WFG5 test function. |
| WFG6 | The WFG6 test function. |
| WFG7 | The WFG7 test function. |
| WFG8 | The WFG8 test function. |
| WFG9 | The WFG9 test function. |
