public GeneticAlgorithm CreateGpLawnMowerSample() {
GeneticAlgorithm ga = new GeneticAlgorithm();
#region Problem Configuration
var problem = new Problems.GeneticProgramming.LawnMower.Problem();
#endregion
#region Algorithm Configuration
ga.Name = "Genetic Programming - Lawn Mower";
ga.Description = "A standard genetic programming algorithm to solve the lawn mower problem";
ga.Problem = problem;
SamplesUtils
.ConfigureGeneticAlgorithmParameters
<TournamentSelector, SubtreeCrossover, MultiSymbolicExpressionTreeArchitectureManipulator>(
ga, 1000, 1, 50, 0.25, 5);
var mutator = (MultiSymbolicExpressionTreeArchitectureManipulator)ga.Mutator;
mutator.Operators.SetItemCheckedState(mutator.Operators
.OfType<OnePointShaker>()
.Single(), false);
#endregion
return ga;
}
public GeneticAlgorithm CreateGpLawnMowerSample()
{
GeneticAlgorithm ga = new GeneticAlgorithm();
#region Problem Configuration
var problem = new Problems.GeneticProgramming.LawnMower.Problem();
#endregion
#region Algorithm Configuration
ga.Name = "Genetic Programming - Lawn Mower";
ga.Description = "A standard genetic programming algorithm to solve the lawn mower problem";
ga.Problem = problem;
SamplesUtils
.ConfigureGeneticAlgorithmParameters
<TournamentSelector, SubtreeCrossover, MultiSymbolicExpressionTreeArchitectureManipulator>(
ga, 1000, 1, 50, 0.25, 5);
var mutator = (MultiSymbolicExpressionTreeArchitectureManipulator)ga.Mutator;
mutator.Operators.SetItemCheckedState(mutator.Operators
.OfType <OnePointShaker>()
.Single(), false);
#endregion
return(ga);
}
