public void RunBestRipsTest()
{
_mutation = new NotRandomMutation();
_selection = new TournamentSelection();
_crossingover = new CyclicalCrossingover();
int bestReps = 150;
IFitnessFunction fitnessFunction = new BestReps(bestReps);
int pCrossingover = 80;
int pMutation = 60;
Array.Sort(_closedTracks);
double preBestResult = _closedTracks[0].GetTrackLength();
GEngine target = new GEngine(_closedTracks, pCrossingover, pMutation, fitnessFunction, _mutation, _crossingover, _selection);
target.Run();
Assert.AreEqual(bestReps, target.FitnessFunction.ActualCountOfReps);
Assert.IsTrue(preBestResult >= target.FitnessFunction.BestResult);
}
public void StartGA()
{
AbstractTrack.ClearCount();
AbstractTrack[] tracks = new AbstractTrack[_newConfig.Tracks.Length];
for (int i = 0; i < tracks.Length; i++)
{
tracks[i] = _newConfig.Tracks[i].Clone();
}
_newGA = new GEngine(tracks, _newConfig.ProbOfCrossingover, _newConfig.ProbOfMutation, _newConfig.FitnessFunction, _newConfig.Mutation, _newConfig.Crossingover, _newConfig.Selection);
_threadRunGA = new Thread(_newGA.Run);
_threadRunGA.Name ="LaborOfGA";
try
{
_threadRunGA.Start();
}
catch (ThreadAbortException)
{
CleaningDB();
}
}
public void RunSearchBestTest()
{
int bestReps = 50;
int wantedResult = 6;
List<ProxyMutation> proxyMutations = new List<ProxyMutation>();
proxyMutations.Add(new ProxyMutation(new TwoPointMutation()));
proxyMutations.Add(new ProxyMutation(new FourPointMutation()));
proxyMutations.Add(new ProxyMutation(new NotRandomMutation()));
_mutation = new SearchBestMutation(proxyMutations);
List<ProxySelection> proxySelectios = new List<ProxySelection>();
proxySelectios.Add(new ProxySelection(new TournamentSelection()));
proxySelectios.Add(new ProxySelection(new RouletteSelection()));
proxySelectios.Add(new ProxySelection(new RankingSelection()));
_selection = new SearchBestSelection(proxySelectios);
List<ProxyCrossingover> proxyCrossingovers = new List<ProxyCrossingover>();
proxyCrossingovers.Add(new ProxyCrossingover(new CyclicalCrossingover()));
proxyCrossingovers.Add(new ProxyCrossingover(new InversionCrossingover()));
proxyCrossingovers.Add(new ProxyCrossingover(new OnePointCrossingover()));
proxyCrossingovers.Add(new ProxyCrossingover(new TwoPointCrossingover()));
_crossingover = new SearchBestCrossingover(proxyCrossingovers);
IFitnessFunction fitnessFunction = new BestReps(bestReps);
int pCrossingover = 100;
int pMutation = 100;
Array.Sort(_closedTracks);
double preBestResult = _closedTracks[0].GetTrackLength();
GEngine target = new GEngine(_closedTracks, pCrossingover, pMutation, fitnessFunction, _mutation, _crossingover, _selection);
target.Run();
double progress1 = proxySelectios[0].GetProgress();
double progress2 = proxySelectios[1].GetProgress();
double progress3 = proxySelectios[2].GetProgress();
Assert.IsTrue(preBestResult >= target.FitnessFunction.BestResult);
}
public void RunReachWantedResultTest()
{
_mutation = new NotRandomMutation();
_selection = new TournamentSelection();
_crossingover = new CyclicalCrossingover();
int wantedResult = 6;
IFitnessFunction fitnessFunction = new ReachWantedResult(wantedResult);
int pCrossingover = 80;
int pMutation = 60;
Array.Sort(_closedTracks);
double preBestResult = _closedTracks[0].GetTrackLength();
GEngine target = new GEngine(_closedTracks, pCrossingover, pMutation, fitnessFunction, _mutation, _crossingover, _selection);
target.Run();
Assert.AreEqual(wantedResult, target.FitnessFunction.BestResult);
Assert.IsTrue(preBestResult > target.FitnessFunction.BestResult);
}
