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 Configuration()
{
AliasCrossingover = new List<string>();
AliasMutations = new List<string>();
AliasSelection = new List<string>();
ConfigName = "Новая конфигурация";
AlgMode = AlgorithmMode.Singl;
CountOfReplays = 1;
ProbOfCrossingover = 100;
ProbOfMutation = 100;
FitnessParam = 10;
Mutation = new NotRandomMutation();
AliasMutations.Add(Mutation.GetName());
Crossingover = new CyclicalCrossingover();
AliasCrossingover.Add(Crossingover.GetName());
Selection = new TournamentSelection();
AliasSelection.Add(Selection.GetName());
Graph = new UndirectedConnectedGraph(10);
FitnessFunction = new BestReps((int)FitnessParam);
Tracks = new AbstractTrack[10];
Random r = new Random();
for (int i = 0; i < Tracks.Length; i++)
{
int[] points = new int[10];
for (int j = 0; j < points.Length; j++)
{
points[j] = -1;
}
int newRandomChromosome = r.Next(points.Length - 1);
for (int j = 0; j < points.Length; j++)
{
while (points.Contains(newRandomChromosome))
{
newRandomChromosome = r.Next(points.Length);
}
points[j] = newRandomChromosome;
}
Tracks[i] = new ClosedTrack(points, Graph);
}
}
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);
}
