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Genetic Algorithm Tool
Description
Global Optimization tool. Solves a Genetic Algorithm that mimics the principle of biological evolution in a search for a global optimization solution for the contained model.
Inputs
Name | Type | Description |
---|---|---|
Use Convergence Stopping Criteria | Bool | If true, the optimization process will halt if evolution of generations becomes asymptotic, as defined by the asymptotic parameter. Otherwise, the total number of generations specified by “Number Of Generations” is used. |
Number of Generations | Positive Int | If the “Use Convergence Stopping Criteria” is true, the “Number Of Generations” specifies the minimum number of generations to detect convergence. Otherwise, it becomes the maximum number of generations. |
Population Size | Positive Int | Number of individuals per population. |
Individual Genotype | Lookup Table Group | The genotype that defines the template for individuals. |
Default Lower Bound | Double | The default lower value for alleles. |
Default Upper Bound | Double | The default upper value for alleles. |
Optional Inputs
Name | Type | Description | Default Value |
---|---|---|---|
Convergence Limit | Percent | Convergence limit (in percentage of fitness variation) across the given number of generations used to halt the optimization process. | 0.99 |
Lower Bounds | Lookup Table Group | The lower limits per alleles. If omitted, the “Default Lower Bound” is used for missing limits. | None |
Upper Bounds | Lookup Table Group | The upper limits per alleles. If omitted, the “Default Upper Bound” is used for missing limits. | None |
Meta Heuristic Evaluation Percent | Percent | A percentage of individuals whose finesses are obtained via meta-heuristic estimation (in percentage of individuals). | None |
Maximum Log Level | Log Tag | Maximum log level used to run the contained functors. | Warning |
Outputs
Name | Type | Description |
---|---|---|
Best Individual | Lookup Table Group | The resulting best individual from all generations. |
Best Individual Fitness | Double | The 'fitness' score of the overall best individual. |
Worst Fitness Per Generation | Double | The 'fitness' score of the worst individual per generation. |
Group
Notes
To calibrate Weights of Evidence coefficients, the “.dcf” file representing the Weight of Evidence ranges and coefficients can be converted into the corresponding set of “.csv” tables and back to the original format using the ConvertWeightFiles utility.
Internal Name
GeneticAlgorithmTool