public Evolution(int populationCount, int variableCount, int valueCount, Random random)
{
Id = ObjectId.GenerateNewId();
ValueCount = valueCount;
VariableCount = variableCount;
Population = new List <MemberModel>();
Generation = 0;
Done = false;
TotalMembers = populationCount;
Target = new MemberModel();
Target.Variables = new List <int>();
History = new List <int>();
for (var j = 0; j < variableCount; j++)
{
var value = random.Next(0, valueCount);
Target.Variables.Add(value);
}
for (var i = 0; i < populationCount; i++)
{
var member = new MemberModel();
member.Variables = new List <int>();
for (var j = 0; j < variableCount; j++)
{
var value = random.Next(0, valueCount);
member.Variables.Add(value);
}
member.SetFitness(Target);
Population.Add(member);
}
Population = Population.OrderByDescending(p => p.Fitness).ToList();
Insert();
}
public MemberModel Couplement(MemberModel mate)
{
var baby = new MemberModel();
var random = new Random();
int crossIndex = random.Next(0, Variables.Count);
bool activeParent = random.Next(0, 1) % 2 == 0;
for (var i = 0; i < Variables.Count; i++)
{
if (activeParent)
{
if (i < crossIndex)
{
baby.Variables.Add(Variables[i]);
}
else
{
baby.Variables.Add(mate.Variables[i]);
}
}
else
{
if (i < crossIndex)
{
baby.Variables.Add(mate.Variables[i]);
}
else
{
baby.Variables.Add(Variables[i]);
}
}
}
return(baby);
}
