private AlpsGeneticAlgorithm CreateAlpsGaSymRegSample()
{
AlpsGeneticAlgorithm alpsGa = new AlpsGeneticAlgorithm();
#region Problem Configuration
var provider = new VladislavlevaInstanceProvider();
var instance = provider.GetDataDescriptors().Single(x => x.Name.StartsWith("Vladislavleva-5 F5"));
var symbRegProblem = new SymbolicRegressionSingleObjectiveProblem();
symbRegProblem.Load(provider.LoadData(instance));
symbRegProblem.MaximumSymbolicExpressionTreeDepth.Value = 35;
symbRegProblem.MaximumSymbolicExpressionTreeLength.Value = 35;
var grammar = (TypeCoherentExpressionGrammar)symbRegProblem.SymbolicExpressionTreeGrammar;
grammar.Symbols.OfType <Exponential>().Single().Enabled = false;
grammar.Symbols.OfType <Logarithm>().Single().Enabled = false;
#endregion
#region Algorithm Configuration
alpsGa.Name = "ALPS Genetic Programming - Symbolic Regression";
alpsGa.Description = "An ALPS-GP to solve a symbolic regression problem (Vladislavleva-5 dataset)";
alpsGa.Problem = symbRegProblem;
SamplesUtils.ConfigureAlpsGeneticAlgorithmParameters <GeneralizedRankSelector, SubtreeCrossover, MultiSymbolicExpressionTreeManipulator>(alpsGa,
numberOfLayers: 1000,
popSize: 100,
mutationRate: 0.25,
elites: 1,
plusSelection: false,
agingScheme: AgingScheme.Polynomial,
ageGap: 15,
ageInheritance: 1.0,
maxGens: 500);
#endregion
return(alpsGa);
}
private AlpsGeneticAlgorithm CreateAlpsGaSymRegSample() {
AlpsGeneticAlgorithm alpsGa = new AlpsGeneticAlgorithm();
#region Problem Configuration
var provider = new VladislavlevaInstanceProvider();
var instance = provider.GetDataDescriptors().Single(x => x.Name.StartsWith("Vladislavleva-5 F5"));
var symbRegProblem = new SymbolicRegressionSingleObjectiveProblem();
symbRegProblem.Load(provider.LoadData(instance));
symbRegProblem.MaximumSymbolicExpressionTreeDepth.Value = 35;
symbRegProblem.MaximumSymbolicExpressionTreeLength.Value = 35;
var grammar = (TypeCoherentExpressionGrammar)symbRegProblem.SymbolicExpressionTreeGrammar;
grammar.Symbols.OfType<Exponential>().Single().Enabled = false;
grammar.Symbols.OfType<Logarithm>().Single().Enabled = false;
#endregion
#region Algorithm Configuration
alpsGa.Name = "ALPS Genetic Programming - Symbolic Regression";
alpsGa.Description = "An ALPS-GP to solve a symbolic regression problem (Vladislavleva-5 dataset)";
alpsGa.Problem = symbRegProblem;
SamplesUtils.ConfigureAlpsGeneticAlgorithmParameters<GeneralizedRankSelector, SubtreeCrossover, MultiSymbolicExpressionTreeManipulator>(alpsGa,
numberOfLayers: 1000,
popSize: 100,
mutationRate: 0.25,
elites: 1,
plusSelection: false,
agingScheme: AgingScheme.Polynomial,
ageGap: 15,
ageInheritance: 1.0,
maxGens: 500);
#endregion
return alpsGa;
}
private OffspringSelectionGeneticAlgorithm CreateGpSymbolicRegressionSample()
{
var osga = new OffspringSelectionGeneticAlgorithm();
#region Problem Configuration
var provider = new VariousInstanceProvider(seed);
var instance = provider.GetDataDescriptors().First(x => x.Name.StartsWith("Spatial co-evolution"));
var problemData = (RegressionProblemData)provider.LoadData(instance);
var problem = new SymbolicRegressionSingleObjectiveProblem();
problem.ProblemData = problemData;
problem.Load(problemData);
problem.BestKnownQuality.Value = 1.0;
#region configure grammar
var grammar = (TypeCoherentExpressionGrammar)problem.SymbolicExpressionTreeGrammar;
grammar.ConfigureAsDefaultRegressionGrammar();
//symbols square, power, squareroot, root, log, exp, sine, cosine, tangent, variable
var square = grammar.Symbols.OfType <Square>().Single();
var power = grammar.Symbols.OfType <Power>().Single();
var squareroot = grammar.Symbols.OfType <SquareRoot>().Single();
var root = grammar.Symbols.OfType <Root>().Single();
var log = grammar.Symbols.OfType <Logarithm>().Single();
var exp = grammar.Symbols.OfType <Exponential>().Single();
var sine = grammar.Symbols.OfType <Sine>().Single();
var cosine = grammar.Symbols.OfType <Cosine>().Single();
var tangent = grammar.Symbols.OfType <Tangent>().Single();
var variable = grammar.Symbols.OfType <Variable>().Single();
var powerSymbols = grammar.Symbols.Single(s => s.Name == "Power Functions");
powerSymbols.Enabled = true;
square.Enabled = true;
square.InitialFrequency = 1.0;
foreach (var allowed in grammar.GetAllowedChildSymbols(square))
{
grammar.RemoveAllowedChildSymbol(square, allowed);
}
foreach (var allowed in grammar.GetAllowedChildSymbols(square, 0))
{
grammar.RemoveAllowedChildSymbol(square, allowed, 0);
}
grammar.AddAllowedChildSymbol(square, variable);
power.Enabled = false;
squareroot.Enabled = false;
foreach (var allowed in grammar.GetAllowedChildSymbols(squareroot))
{
grammar.RemoveAllowedChildSymbol(squareroot, allowed);
}
foreach (var allowed in grammar.GetAllowedChildSymbols(squareroot, 0))
{
grammar.RemoveAllowedChildSymbol(squareroot, allowed, 0);
}
grammar.AddAllowedChildSymbol(squareroot, variable);
root.Enabled = false;
log.Enabled = true;
log.InitialFrequency = 1.0;
foreach (var allowed in grammar.GetAllowedChildSymbols(log))
{
grammar.RemoveAllowedChildSymbol(log, allowed);
}
foreach (var allowed in grammar.GetAllowedChildSymbols(log, 0))
{
grammar.RemoveAllowedChildSymbol(log, allowed, 0);
}
grammar.AddAllowedChildSymbol(log, variable);
exp.Enabled = true;
exp.InitialFrequency = 1.0;
foreach (var allowed in grammar.GetAllowedChildSymbols(exp))
{
grammar.RemoveAllowedChildSymbol(exp, allowed);
}
foreach (var allowed in grammar.GetAllowedChildSymbols(exp, 0))
{
grammar.RemoveAllowedChildSymbol(exp, allowed, 0);
}
grammar.AddAllowedChildSymbol(exp, variable);
sine.Enabled = false;
foreach (var allowed in grammar.GetAllowedChildSymbols(sine))
{
grammar.RemoveAllowedChildSymbol(sine, allowed);
}
foreach (var allowed in grammar.GetAllowedChildSymbols(sine, 0))
{
grammar.RemoveAllowedChildSymbol(sine, allowed, 0);
}
grammar.AddAllowedChildSymbol(sine, variable);
cosine.Enabled = false;
foreach (var allowed in grammar.GetAllowedChildSymbols(cosine))
{
grammar.RemoveAllowedChildSymbol(cosine, allowed);
}
foreach (var allowed in grammar.GetAllowedChildSymbols(cosine, 0))
{
grammar.RemoveAllowedChildSymbol(cosine, allowed, 0);
}
grammar.AddAllowedChildSymbol(cosine, variable);
tangent.Enabled = false;
foreach (var allowed in grammar.GetAllowedChildSymbols(tangent))
{
grammar.RemoveAllowedChildSymbol(tangent, allowed);
}
foreach (var allowed in grammar.GetAllowedChildSymbols(tangent, 0))
{
grammar.RemoveAllowedChildSymbol(tangent, allowed, 0);
}
grammar.AddAllowedChildSymbol(tangent, variable);
#endregion
problem.SymbolicExpressionTreeGrammar = grammar;
// configure remaining problem parameters
problem.MaximumSymbolicExpressionTreeLength.Value = 50;
problem.MaximumSymbolicExpressionTreeDepth.Value = 12;
problem.MaximumFunctionDefinitions.Value = 0;
problem.MaximumFunctionArguments.Value = 0;
var evaluator = new SymbolicRegressionConstantOptimizationEvaluator();
evaluator.ConstantOptimizationIterations.Value = 5;
problem.EvaluatorParameter.Value = evaluator;
problem.RelativeNumberOfEvaluatedSamplesParameter.Hidden = true;
problem.SolutionCreatorParameter.Hidden = true;
#endregion
#region Algorithm Configuration
osga.Problem = problem;
osga.Name = "Offspring Selection Genetic Programming - Symbolic Regression";
osga.Description = "Genetic programming with strict offspring selection for solving a benchmark regression problem.";
SamplesUtils.ConfigureOsGeneticAlgorithmParameters <GenderSpecificSelector, SubtreeCrossover, MultiSymbolicExpressionTreeManipulator>(osga, 100, 1, 25, 0.2, 50);
var mutator = (MultiSymbolicExpressionTreeManipulator)osga.Mutator;
mutator.Operators.OfType <FullTreeShaker>().Single().ShakingFactor = 0.1;
mutator.Operators.OfType <OnePointShaker>().Single().ShakingFactor = 1.0;
osga.Analyzer.Operators.SetItemCheckedState(
osga.Analyzer.Operators
.OfType <SymbolicRegressionSingleObjectiveOverfittingAnalyzer>()
.Single(), false);
osga.Analyzer.Operators.SetItemCheckedState(
osga.Analyzer.Operators
.OfType <SymbolicDataAnalysisAlleleFrequencyAnalyzer>()
.First(), false);
osga.ComparisonFactorModifierParameter.Hidden = true;
osga.ComparisonFactorLowerBoundParameter.Hidden = true;
osga.ComparisonFactorUpperBoundParameter.Hidden = true;
osga.OffspringSelectionBeforeMutationParameter.Hidden = true;
osga.SuccessRatioParameter.Hidden = true;
osga.SelectedParentsParameter.Hidden = true;
osga.ElitesParameter.Hidden = true;
#endregion
return(osga);
}
