public override AbstractPhenotype Translate(BitVector genom)
{
var battles = new List<double>();
for (int i = 0; i < genom.Vector.Count; i = i + 4)
{
string binaryStrength = genom.Vector[i].ToString() + genom.Vector[i + 1].ToString() +
genom.Vector[i + 2].ToString() + genom.Vector[i + 3].ToString();
var armyStrength = (double) Convert.ToInt32(binaryStrength, 2);
battles.Add(armyStrength);
}
double sum = battles.Sum();
List<double> army = battles.Select(battleStrength => (battleStrength/sum)).ToList();
var cbp = new ColonelBlottoPhenotype {Genotype = genom, Army = army, Strength = 1.0, Wins = 0, Ties = 0};
cbp.CalculateEntropy();
return cbp;
}
public void War(ColonelBlottoPhenotype army1, ColonelBlottoPhenotype army2)
{
for (int i = 0; i < army1.Army.Count; i++)
{
if ((army1.Army[i]*army1.Strength) > (army2.Army[i]*army2.Strength))
{
army1.Wins++;
army1.Redeployment(i, (army1.Army[i] - army2.Army[i]), RedeploymentFraction);
army2.Strength -= LossFraction;
}
else if ((army2.Army[i]*army2.Strength) > (army1.Army[i]*army1.Strength))
{
army2.Wins++;
army2.Redeployment(i, (army2.Army[i] - army1.Army[i]), RedeploymentFraction);
army1.Strength -= LossFraction;
}
else
{
army1.Ties++;
army2.Ties++;
}
}
army1.Strength = 1.0;
army2.Strength = 1.0;
}
public void GetWinner()
{
double max = Population.CurrentPopulation.Cast<ColonelBlottoPhenotype>().Max(x => x.Fitness);
Winner = Population.CurrentPopulation.Cast<ColonelBlottoPhenotype>().FirstOrDefault(x => x.Fitness >= max);
}
