public OffspringSelectionGeneticAlgorithm CreateGeSymbolicRegressionSample()
{
var ga = new OffspringSelectionGeneticAlgorithm();
#region Problem Configuration
var problem = new HeuristicLab.Problems.GrammaticalEvolution.GESymbolicRegressionSingleObjectiveProblem();
#endregion
#region Algorithm Configuration
ga.Name = "Grammatical Evolution - Symbolic Regression (Poly-10)";
ga.Description = "Grammatical evolution algorithm for solving a symbolic regression problem problem";
ga.Problem = problem;
problem.Load(new PolyTen().GenerateRegressionData());
// must occur after loading problem data because the grammar creates symbols for random constants once the data is loaded
var consts = problem.SymbolicExpressionTreeGrammar.AllowedSymbols.OfType <Constant>().ToList();
foreach (var c in consts)
{
problem.SymbolicExpressionTreeGrammar.RemoveSymbol(c);
}
SamplesUtils.ConfigureOsGeneticAlgorithmParameters <GenderSpecificSelector, Encodings.IntegerVectorEncoding.SinglePointCrossover, Encodings.IntegerVectorEncoding.UniformOnePositionManipulator>(
ga, 1000, 1, 50, 0.05, 200);
#endregion
return(ga);
}
public OffspringSelectionGeneticAlgorithm CreateGeSymbolicRegressionSample() {
var ga = new OffspringSelectionGeneticAlgorithm();
#region Problem Configuration
var problem = new HeuristicLab.Problems.GrammaticalEvolution.GESymbolicRegressionSingleObjectiveProblem();
#endregion
#region Algorithm Configuration
ga.Name = "Grammatical Evolution - Symbolic Regression (Poly-10)";
ga.Description = "Grammatical evolution algorithm for solving a symbolic regression problem problem";
ga.Problem = problem;
problem.Load(new PolyTen().GenerateRegressionData());
// must occur after loading problem data because the grammar creates symbols for random constants once the data is loaded
var consts = problem.SymbolicExpressionTreeGrammar.AllowedSymbols.OfType<Constant>().ToList();
foreach (var c in consts) {
problem.SymbolicExpressionTreeGrammar.RemoveSymbol(c);
}
SamplesUtils.ConfigureOsGeneticAlgorithmParameters<GenderSpecificSelector, Encodings.IntegerVectorEncoding.SinglePointCrossover, Encodings.IntegerVectorEncoding.UniformOnePositionManipulator>(
ga, 1000, 1, 50, 0.05, 200);
#endregion
return ga;
}
