public void UpdatePopulation(bool saveFitnessLog = false)
{
if (saveFitnessLog)
{
GlobalBestLog = new List <double>();
}
for (int i = 0; i < Bee.FoodSourceList.Count; i++)
{
EmployedParticleList[i].DeployFoodSourceForParticle(i);
ScoutParticleList[i].DeployFoodSourceForParticle(i);
}
for (int i = 0; i < Parameters.ITERATION_AMOUNT; i++)
{
Bee.CalculateFoodSourceFitness();
Bee.CalculateFoodSourceProbability();
Bee.SortFoodSourceByProbability();
EmployedParticleList.ForEach(x =>
{
x.SendEmployedBees();
x.UpdateFitness();
});
OnlookerParticleList.ForEach(x =>
{
x.SendOnlookerBees();
x.UpdateFitness();
});
ScoutParticleList.ForEach(x =>
{
x.SendScoutBees();
});
if (saveFitnessLog)
{
GlobalBestLog.Add(Bee.GlobalBestFitness);
}
Console.WriteLine(i + " " + Bee.GlobalBestFitness);
}
}
public Swarm(EFunction function)
{
Bee.ClearStaticFields();
int employedBees = (Parameters.PARTICLE_AMOUNT * Parameters.EMPLOYED_BEE_AMOUNT / 100);
employedBees = Math.Min(Parameters.INITIAL_FOOD_SOURCES, employedBees);
int scoutBees = (Parameters.PARTICLE_AMOUNT * Parameters.SCOUT_BEE_AMOUNT / 100);
scoutBees = Math.Min(Parameters.INITIAL_FOOD_SOURCES, scoutBees);
int onlookerBees = Parameters.PARTICLE_AMOUNT - employedBees - scoutBees;
OnlookerParticleList = Bee.CreateSwarm(function, EBee.Onlooker, onlookerBees);
ScoutParticleList = Bee.CreateSwarm(function, EBee.Scout, scoutBees);
EmployedParticleList = Bee.CreateSwarm(function, EBee.Employed, employedBees);
Bee.CreateRandomFoodSources();
}