Selection of Training Populations by Genetic Algorithm
Amat.pieces
Optimality Criteria
Calculate the distance of solutions from the 'ideal' solution.
Genetic algorithm for subset selection
Genetic algorithm for subset selection no given test with multiple cri...
Genetic algorithm for subset selection no given test with multiple cri...
Genetic algorithm for subset selection no given test
Generate crosses from elites
Make a cross from two solutions and mutate.
Selection of Training Populations by Genetic Algorithm
Combining Predictive Analytics and Experimental Design to Optimize Results. To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.