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ADMEWORKS ModelBuilder - Feature Selection - Genetic Algorithm


This command displays a dialog for Feature Selection by simple genetic algorithm. The genetic algorithm starts with the creation of a Population of randomly generated Parameter Sets. The usage probability of a given Parameter from Active set is 0.5 in any of the initial Population sets. The sets are then compared according to Objective Function. The form of objective function favours sets that have the R2 as high as possible, while minimizing the number of Parameters used as Descriptors. The higher the score, the higher the probability that a given set will be used for the creation of the next Generation of sets. Creation of a consecutive generation involves Crossovers between set contents, as well as Mutations. The algorithm runs until the desired Number of Generations is reached, or the user presses the “Stop” button.



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