public virtual void DoWork(RunFitnessCaseCompletedHandler handler)
{
IGPEnvironment env = mPop.Environment as IGPEnvironment;
int fitness_case_count = env.GetFitnessCaseCount();
List <IGPFitnessCase> cases = new List <IGPFitnessCase>();
for (int i = 0; i < fitness_case_count; ++i)
{
IGPFitnessCase fitness_case = env.CreateFitnessCase(i);
for (int tindex = 0; tindex < mTrees.Count; ++tindex)
{
fitness_case.StoreOutput(mTrees[tindex].ExecuteOnFitnessCase(fitness_case), tindex);
}
handler(fitness_case);
}
}
/// <summary>
/// Method that executes the GP based on a fitness case and return a value as the output of the GP tree
/// </summary>
/// <param name="fitness_case">The fitness case which contains' the program's external inputs and stores the program's output</param>
/// <returns>The output returned after executing the GP program</returns>
public virtual object ExecuteOnFitnessCase(IGPFitnessCase fitness_case, params object[] tags)
{
mConstantSet.Update(tags);
List <string> variable_names = mVariableSet.TerminalNames;
foreach (string variable_name in variable_names)
{
object input;
if (fitness_case.QueryInput(variable_name, out input))
{
mVariableSet.FindTerminalBySymbol(variable_name).Value = input;
}
else
{
mVariableSet.FindTerminalBySymbol(variable_name).Value = 0;
}
}
return(mRootNode.Evaluate(tags));
}
public override object ExecuteOnFitnessCase(IGPFitnessCase fitness_case, params object[] tags)
{
Express();
return(base.ExecuteOnFitnessCase(fitness_case, tags));
}