/// <summary>
/// Setup and solve the TSP.
/// </summary>
public void Execute(IExampleInterface app)
{
this.app = app;
var builder = new StringBuilder();
initCities();
IPopulation pop = initPopulation();
ICalculateScore score = new TSPScore(cities);
genetic = new TrainEA(pop, score);
genetic.AddOperation(0.9, new SpliceNoRepeat(CITIES / 3));
genetic.AddOperation(0.1, new MutateShuffle());
int sameSolutionCount = 0;
int iteration = 1;
double lastSolution = Double.MaxValue;
while (sameSolutionCount < MAX_SAME_SOLUTION)
{
genetic.Iteration();
double thisSolution = genetic.Error;
builder.Length = 0;
builder.Append("Iteration: ");
builder.Append(iteration++);
builder.Append(", Best Path Length = ");
builder.Append(thisSolution);
Console.WriteLine(builder.ToString());
if (Math.Abs(lastSolution - thisSolution) < 1.0)
{
sameSolutionCount++;
}
else
{
sameSolutionCount = 0;
}
lastSolution = thisSolution;
}
Console.WriteLine("Good solution found:");
displaySolution();
genetic.FinishTraining();
}
/// <summary>
/// Setup and solve the TSP.
/// </summary>
public void Execute(IExampleInterface app)
{
this.app = app;
var builder = new StringBuilder();
initCities();
IPopulation pop = initPopulation();
ICalculateScore score = new TSPScore(cities);
genetic = new TrainEA(pop,score);
genetic.AddOperation(0.9,new SpliceNoRepeat(CITIES/3));
genetic.AddOperation(0.1,new MutateShuffle());
int sameSolutionCount = 0;
int iteration = 1;
double lastSolution = Double.MaxValue;
while (sameSolutionCount < MAX_SAME_SOLUTION) {
genetic.Iteration();
double thisSolution = genetic.Error;
builder.Length = 0;
builder.Append("Iteration: ");
builder.Append(iteration++);
builder.Append(", Best Path Length = ");
builder.Append(thisSolution);
Console.WriteLine(builder.ToString());
if (Math.Abs(lastSolution - thisSolution) < 1.0) {
sameSolutionCount++;
} else {
sameSolutionCount = 0;
}
lastSolution = thisSolution;
}
Console.WriteLine("Good solution found:");
displaySolution();
genetic.FinishTraining();
}
private void initPopulation(GeneticAlgorithm ga)
{
ICalculateGenomeScore score = new TSPScore(cities);
ga.CalculateScore = score;
IPopulation population = new BasicPopulation(POPULATION_SIZE);
ga.Population = population;
for (int i = 0; i < POPULATION_SIZE; i++)
{
var genome = new TSPGenome(ga, cities);
ga.Population.Genomes.Add(genome);
ga.PerformCalculateScore(genome);
}
population.Sort();
}
private void initPopulation(GeneticAlgorithm ga)
{
ICalculateGenomeScore score = new TSPScore(cities);
ga.CalculateScore = score;
IPopulation population = new BasicPopulation(POPULATION_SIZE);
ga.Population = population;
for (int i = 0; i < POPULATION_SIZE; i++)
{
var genome = new TSPGenome(ga, cities);
ga.Population.Genomes.Add(genome);
ga.PerformCalculateScore(genome);
}
population.Sort();
}
