Master index |
Index for Mateda2.0/ScriptsMateda/OptimizationScripts ![]() |
| EXAMPLE 4: Aff_EDA with proportional selection and elitism 1 | |
| EXAMPLE 10: | |
| EXAMPLE 9: Bayesian tree for a multiobjective function of the NK random | |
| EXAMPLE 1: One Max Funtion. Default parameters | |
| EXAMPLE 11: | |
| EXAMPLE 2: Goldberg's deceptive function; BN K2 algorithm with BIC metric | |
| % EXAMPLE 2: MULTIO-OBJECTIVE MAXSAT | |
| EXAMPLE 16: | |
| EXAMPLE 12: Multivariate Gaussian EDA for the Offline HP Model continuous function | |
| EXAMPLE 8: Gaussian network for the Offline HP Model continuous function | |
| EXAMPLE 5: Gaussian UMDA for the continuous sum function in the interval [0,5] | |
| EXAMPLE 7: Gaussian UMDA for the Offline HP Model continuous function | |
| EXAMPLE 3: MOA algorithm with exponential selection for Goldberg's deceptive function | |
| EXAMPLE 14: Mixtures of full Gaussian distributions | |
| EXAMPLE 15: Continuous EDAs that learn mixtures of distributions | |
| EXAMPLE 6: Markov Chain FDA for the HP protein model. | |
| EXAMPLE 17: Goldberg's deceptive function; Tree EDA algorithm | |
| EXAMPLE 18: Tree-FDA for the HP protein model (The tree structure is | |
| Creating UMDA for OneMax. | |
| EXAMPLE 13: Different variants of continuous EDAs for a spacecraft |