void engEngine_EvalFitnessForProgramEvent(TreeLanguageEvolute.TreeProgram progProgram, GeneticProgrammingEngine sender)
{
progProgram.Fitness = 0;
Hashtable hsVariables = progProgram.GetVariables();
Variable varX = (Variable)hsVariables["X"];
for (int nCaseNumber = 0;
nCaseNumber < 100;
nCaseNumber++)
{
// y = 5x^3+x^2+x
varX.Value = (float)GlobalRandom.m_rndRandom.NextDouble();
float fExpectedResult = (5 * varX.Value * varX.Value * varX.Value)
+ (3 * varX.Value * varX.Value) + varX.Value;
progProgram.Run();
float fActualResult = progProgram.Result;
progProgram.Fitness += Math.Abs(fExpectedResult - fActualResult);
}
if (progProgram.Fitness < 0.1F)
{
progProgram.Fitness =
0.00000001F * progProgram.Count;
}
}
public override float action(Node[] arrNodes, TreeLanguageEvolute.TreeProgram progOwner)
{
Hashtable hsVariables = progOwner.GetVariables();
float fWantedVariable = arrNodes[0].ReturnValue(progOwner);
float fWantedValue = arrNodes[1].ReturnValue(progOwner);
uint nWantedVariableIndex = ((uint)fWantedVariable) % (uint)hsVariables.Count;
Variable varWantedVariable = progOwner.Variables[nWantedVariableIndex];
varWantedVariable.Value = fWantedValue;
return(1);
}