public override SolutionProgram search(TimeSpan timeLimit)
{
watch.Start();
SolutionProgram current = new SolutionProgram((DirectiveNode)SearchMethodsSupport.createRandomTree(NodeClass.directive, profile, 3));
int steps = 0;
while (watch.Elapsed < timeLimit)
{
steps++;
mutatedPrograms.Clear();
for (int i = 0; i < mutationsInStep; i++)
{
SolutionProgram mutated = (SolutionProgram)current.Clone();
mutator.modify(mutated);
mutatedPrograms.Add(new EvaluatedEntity <SolutionProgram>(mutated, 0));
}
mutatedPrograms.Add(new EvaluatedEntity <SolutionProgram>(new SolutionProgram((DirectiveNode)SearchMethodsSupport.createRandomTree(NodeClass.directive, profile, 3)), 0));
addEvaluation(batchSize, mutatedPrograms);
var selected = selector.select(mutatedPrograms);
if (selected.value >= 99) //more than 99% accuracy reached -> ending the search.
{
printMSG(selected.value.ToString());
return(selected.item);
}
printMSG("Steps: " + steps);
printMSG("Best evaluation: " + mutatedPrograms.Max(p => p.value));
printMSG("Best program: " + mutatedPrograms.Where(p => p.value >= mutatedPrograms.Max(q => q.value)).First().item.ToString());
}
watch.Stop();
return(mutatedPrograms.Where(p => p.value >= mutatedPrograms.Max(q => q.value)).First().item);
}
/// <summary>
/// To test the primality testing program and Erratic sequence program
/// </summary>
/// <param name="args"></param>
static void Main4(string[] args)
{
runEvaluation(new PrimalityTestingSamplesGenerator(), getProgram2(), 10000, quiet: true);
new GraphVisualizer().visualizeDialog(ProgramTreeDrawer.createGraph(getProgram2()));
//applies a random mutation to the program and evaluates it. Repeates 10-times.
NodeTypeRelativizedFrequencyProfile prof = NodeTypeRelativizedFrequencyProfile.createProfile(new List <SolutionProgram> {
getProgram0(), getProgram1(), getProgram2()
});
PointMutation m = new PointMutation(prof, 1);
for (int i = 0; i < 10; i++)
{
var p = getProgram2();
m.modify(p);
new GraphVisualizer().visualizeDialog(ProgramTreeDrawer.createGraph(p));
runEvaluation(new PrimalityTestingSamplesGenerator(), p, 10000, quiet: true);
}
//runEvaluation(new ErraticSequenceLengthSamplesGenerator(), getProgram1(), 10000);
}