public void MyTestInitialize()
{
int[,] ribs = new int[6, 2] { { 0, 1 }, { 0, 2 }, { 0, 3 }, { 1, 2 }, { 1, 3 }, { 2, 3 } };
double[] weights = new double[] { 3, 5, 10, 7, 8, 9 };
_graph = new UndirectedConnectedGraph(ribs, weights);
int[] trackPoints = new int[] { 0, 2, 1, 3 };
_track = new UnclosedTrack(trackPoints, _graph);
}
public void MyTestInitialize()
{
int[] trackPoints1 = new int[] { 0, 2, 1, 3 };
int[] trackPoints2 = new int[] { 1, 3, 0, 2 };
_parent1 = new UnclosedTrack(trackPoints1, _graph);
_parent2 = new UnclosedTrack(trackPoints2, _graph);
_child1 = new UnclosedTrack(CountOfAllele, _graph, false);
_child2 = new UnclosedTrack(CountOfAllele, _graph, false);
int[,] ribs = new int[6, 2] { { 0, 1 }, { 0, 2 }, { 0, 3 }, { 1, 2 }, { 1, 3 }, { 2, 3 } };
double[] weights = new double[] { 3, 5, 10, 7, 8, 9 };
_graph = new UndirectedConnectedGraph(ribs, weights);
}
public void MyTestInitialize()
{
int[,] ribs = new int[6, 2] { { 0, 1 }, { 0, 2 }, { 0, 3 }, { 1, 2 }, { 1, 3 }, { 2, 3 } };
double[] weights = new double[] { 3, 5, 10, 7, 8, 9 };
_graph = new UndirectedConnectedGraph(ribs, weights);
_parents = new AbstractTrack[CountOfTracks];
_parents[0] = new UnclosedTrack(new int[] { 0, 1, 3, 2 }, _graph);
_parents[1] = new UnclosedTrack(new int[] { 1, 0, 2, 3 }, _graph);
_parents[2] = new UnclosedTrack(new int[] { 2, 0, 3, 1 }, _graph);
_childs = new AbstractTrack[CountOfTracks];
_childs[0] = new UnclosedTrack(new int[] { 2, 1, 0, 3 }, _graph);
_childs[1] = new UnclosedTrack(new int[] { 0, 3, 2, 1 }, _graph);
_childs[2] = new UnclosedTrack(new int[] { 0, 1, 2, 3 }, _graph);
}
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 MyTestInitialize()
{
_ribs = new int[6, 2] { { 1, 2 }, { 1, 3 }, { 1, 4 }, { 2, 3 }, { 2, 4 }, { 3, 4 }, };
_weights = new double[] { 3, 5, 10, 7, 8, 9 };
_target = new UndirectedConnectedGraph(_ribs, _weights);
}
