public QwopRunner(string initSeq, string comSeq, QwopRunner parentOne, QwopRunner parentTwo)
{
InitSeq = initSeq;
ComSeq = comSeq;
Fitness = 0;
ParentOne = parentOne;
ParentTwo = parentTwo;
}
public QwopRunner(string initSeq, string comSeq)
{
InitSeq = initSeq;
ComSeq = comSeq;
Fitness = 0;
ParentOne = null;
ParentTwo = null;
}
public QwopRunner()
{
InitSeq = "";
ComSeq = "";
Fitness = 0;
ParentOne = null;
ParentTwo = null;
}
public QwopGA(int popSize, int maxSeqLength, int numNeighbors, float mutationRate)
{
this.popSize = popSize;
this.maxSeqLength = maxSeqLength;
this.numNeighbors = numNeighbors;
this.mutationRate = mutationRate;
Runners = new QwopRunner[popSize];
OldRunners = new QwopRunner[popSize];
for (int i = 0; i < Runners.Length; i++)
{
Runners[i] = new QwopRunner();
OldRunners[i] = new QwopRunner();
}
GenerateInitialMembers();
}
} // the last set of QwopRunner's
public QwopGA()
{
this.popSize = 15;
this.maxSeqLength = 30;
this.numNeighbors = 4;
this.mutationRate = 0.01f;
Runners = new QwopRunner[popSize];
OldRunners = new QwopRunner[popSize];
for (int i = 0; i < Runners.Length; i++)
{
Runners[i] = new QwopRunner();
OldRunners[i] = new QwopRunner();
}
GenerateInitialMembers();
}
private void SelectMembers()
{
/*
* if (Runners[0].ParentOne != null)
* {
* Console.WriteLine("Old Runners: ");
* foreach (QwopRunner r in OldRunners) Console.WriteLine(r.ToString());
* Console.WriteLine("");
* Console.WriteLine("Runners: ");
* foreach (QwopRunner r in Runners) Console.WriteLine(r.ToString());
* Console.WriteLine("");
* }
*/
QwopRunner highest = new QwopRunner();
float avg = 0;
foreach (QwopRunner r in Runners)
{
avg += r.Fitness;
if (r.Fitness > highest.Fitness)
{
highest = r;
}
}
Console.WriteLine("Avg: " + (avg / Runners.Length)) :
Console.WriteLine(highest.ToString());
QwopRunner[] bestRunners = new QwopRunner[popSize];
for (int i = 0; i < popSize; i++) // deep copy that shit
{
bestRunners[i] = Runners[i];
}
for (int i = 0; i < popSize; i++)
{
if (Runners[i].ParentOne != null)
{
// child is the greatest
if (Runners[i].Fitness >= Runners[i].ParentOne.Fitness &&
Runners[i].Fitness >= Runners[i].ParentTwo.Fitness)
{
bestRunners[i] = new QwopRunner(Runners[i].InitSeq, Runners[i].ComSeq);
Runners[i].Fitness = 0;
}
// mom is the greatest
else if (Runners[i].ParentOne.Fitness >= Runners[i].Fitness &&
Runners[i].ParentOne.Fitness >= Runners[i].ParentTwo.Fitness)
{
bestRunners[i] = new QwopRunner(Runners[i].ParentOne.InitSeq, Runners[i].ParentOne.ComSeq);
Runners[i].ParentOne.Fitness = 0;
}
// dad is the greatest
else if (Runners[i].ParentTwo.Fitness >= Runners[i].Fitness &&
Runners[i].ParentTwo.Fitness >= Runners[i].ParentOne.Fitness)
{
bestRunners[i] = new QwopRunner(Runners[i].ParentTwo.InitSeq, Runners[i].ParentTwo.ComSeq);
Runners[i].ParentTwo.Fitness = 0;
}
else
{
Console.WriteLine("What the f**k");
}
}
}
Runners = bestRunners;
/*
* Console.WriteLine("Best Runners: ");
* foreach (QwopRunner r in bestRunners) Console.WriteLine(r.ToString());
* Console.WriteLine("");
*/
}
public void GenerateNewMembers()
{
SelectMembers();
OldRunners = new QwopRunner[popSize]; // deep copy that shit
for (int i = 0; i < popSize; i++)
{
OldRunners[i] = Runners[i];
}
Random rn = new Random();
List <QwopRunner> available = Runners.ToList <QwopRunner>();
QwopRunner[] newRunners = new QwopRunner[popSize];
for (int i = 0; i < popSize; i += 2)
{
// choose the two mates based on fittest local neighbors (cellular GA)
QwopRunner mateOne = available[0];
QwopRunner mateTwo = available[1];
int mateTwoIndex = 1;
//foreach (QwopRunner r in available) Console.WriteLine(r.ToString());
for (int j = 2; j <= numNeighbors && j < available.Count; j++)
{
if (available[j].Fitness > mateTwo.Fitness)
{
mateTwo = available[j];
mateTwoIndex = j;
}
}
available.RemoveAt(0);
available.RemoveAt(mateTwoIndex - 1); // every member can only have one mate, so remove the used members
// time to perform some crossover
int spliceLocOne = rn.Next(0, mateOne.InitSeq.Length);
int spliceLocTwo = rn.Next(0, mateTwo.InitSeq.Length);
string newInitSeqOne = mateOne.InitSeq.Substring(0, spliceLocOne) + mateTwo.InitSeq.Substring(spliceLocTwo, mateTwo.InitSeq.Length - spliceLocTwo);
string newInitSeqTwo = mateTwo.InitSeq.Substring(0, spliceLocTwo) + mateOne.InitSeq.Substring(spliceLocOne, mateOne.InitSeq.Length - spliceLocOne);
spliceLocOne = rn.Next(0, mateOne.ComSeq.Length);
spliceLocTwo = rn.Next(0, mateTwo.ComSeq.Length);
string newComSeqOne = mateOne.ComSeq.Substring(0, spliceLocOne) + mateTwo.ComSeq.Substring(spliceLocTwo, mateTwo.ComSeq.Length - spliceLocTwo);
string newComSeqTwo = mateTwo.ComSeq.Substring(0, spliceLocTwo) + mateOne.ComSeq.Substring(spliceLocOne, mateOne.ComSeq.Length - spliceLocOne);
// store the new population members accordingly
newRunners[i] = new QwopRunner(newInitSeqOne, newComSeqOne, mateOne, mateTwo);
newRunners[i + 1] = new QwopRunner(newInitSeqTwo, newComSeqTwo, mateOne, mateTwo);
if (rn.NextDouble() < mutationRate)
{
newRunners[i].InitSeq = MutateCode(newRunners[i].InitSeq);
}
if (rn.NextDouble() < mutationRate)
{
newRunners[i].ComSeq = MutateCode(newRunners[i].ComSeq);
}
if (rn.NextDouble() < mutationRate)
{
newRunners[i + 1].InitSeq = MutateCode(newRunners[i].InitSeq);
}
if (rn.NextDouble() < mutationRate)
{
newRunners[i + 1].ComSeq = MutateCode(newRunners[i].ComSeq);
}
// Console.WriteLine(mateOne.ToString() + " + \n" + mateTwo.ToString() + " = \n" + newRunners[i].ToString() + " and \n" + newRunners[i + 1].ToString());
}
Runners = newRunners;
}