/// <summary>
/// Construct the generator.
/// </summary>
/// <param name="theContext">The context that is to be used for generation.</param>
/// <param name="theMaxDepth">The maximum depth to generate to.</param>
protected AbstractPrgGenerator(EncogProgramContext theContext,
int theMaxDepth)
{
if (theContext.Functions.Count == 0)
{
throw new EncogError("There are no opcodes defined");
}
_context = theContext;
_maxDepth = theMaxDepth;
_hasEnum = _context.HasEnum;
Score = new ZeroEvalScoreFunction();
MinConst = -10;
MaxConst = 10;
RandomFactory = EncogFramework.Instance.RandomFactory.FactorFactory();
MaxGenerationErrors = 500;
}
public void Eval(String start, String expect)
{
EncogProgramContext context = new EncogProgramContext();
StandardExtensions.CreateNumericOperators(context);
PrgPopulation pop = new PrgPopulation(context, 1);
ICalculateScore score = new ZeroEvalScoreFunction();
TrainEA genetic = new TrainEA(pop, score);
genetic.ValidationMode = true;
genetic.CODEC = new PrgCODEC();
genetic.AddOperation(0.95, new SubtreeCrossover());
genetic.AddOperation(0.05, new SubtreeMutation(context, 4));
genetic.AddScoreAdjuster(new ComplexityAdjustedScore());
genetic.Rules.AddRewriteRule(new RewriteConstants());
genetic.Rules.AddRewriteRule(new RewriteAlgebraic());
EncogProgram expression = new EncogProgram(context);
expression.CompileExpression(start);
RenderCommonExpression render = new RenderCommonExpression();
genetic.Rules.Rewrite(expression);
Assert.AreEqual(expect, render.Render(expression));
}