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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 |