public void CalculateSpecimensValues(Specimen[] population)
{
var classifier = new SpecimenClassifier(_data);
foreach (var specimen in population)
{
specimen.Value = classifier.CalculateSpecimenValue(specimen);
}
}
public string[] StartGreedy()
{
var data = LoadData();
var distanceMatrix = data.DistanceMatrix;
DistanceMatrixBuilder.MatrixToString(data.DistanceMatrix);
var result = new string[Config.GenerationsNumber];
var bestValue = double.NegativeInfinity;
var allCities = data.Cities.ToArray();
for (var j = 0; j < allCities.Length; j++)
{
var city = allCities[j];
var citiesSequence = new List <City>(allCities.Length);
var nonVisitedCities = new List <City>(allCities);
citiesSequence.Add(city);
nonVisitedCities.Remove(city);
while (nonVisitedCities.Count != 0)
{
var lastCity = citiesSequence.Last();
var otherCities = nonVisitedCities.Where(otherCity => otherCity.Index != lastCity.Index).ToArray();
var shortestDistance = otherCities.Min(otherCity =>
distanceMatrix[lastCity.Index - 1, otherCity.Index - 1]);
var closestCity = otherCities.First(otherCity =>
distanceMatrix[otherCity.Index - 1, lastCity.Index - 1].Equals(shortestDistance));
citiesSequence.Add(closestCity);
nonVisitedCities.Remove(closestCity);
}
var citiesIndexSequence = new int[citiesSequence.Count];
for (var i = 0; i < citiesSequence.Count; i++)
{
citiesIndexSequence[i] = citiesSequence[i].Index;
}
var specimen = new Specimen(data, citiesIndexSequence);
var classifier = new SpecimenClassifier(data);
specimen.Value = classifier.CalculateSpecimenValue(specimen);
if (specimen.Value > bestValue)
{
bestValue = specimen.Value;
}
WriteLine($"{j} {bestValue} ");
result[j] = bestValue.ToString();
}
return(result);
}
