private void Test_PolynomialGA(Func <double, double> func)
{
int polynomialOrder = 5;
int populationSize = 500;
int sampleCount = 100;
int genCount = 5000;
Random rng = new Random(0);
var pop = Enumerable
.Range(0, populationSize)
.Select(i => new CartesianIndividual(polynomialOrder, rng))
.Cast <IIndividual>()
.ToList();
double[] xRange = Enumerable
.Range(0, sampleCount)
.Select(i => (double)i / 100)
.ToArray();
double[][] allPowsOfX = new double[sampleCount][];
for (int i = 0; i < allPowsOfX.Length; ++i)
{
allPowsOfX[i] = new double[polynomialOrder];
double powX = 1;
for (int j = 0; j < allPowsOfX[i].Length; ++j)
{
allPowsOfX[i][j] = powX;
powX *= xRange[i];
}
}
double[] expectedValues = xRange
.Select(i => func(i))
.ToArray();
Utils.SetRandomSeed(0);
var ages = new Ages(genCount,
new Evaluate((i) => ((CartesianIndividual)i).PolynomialEval(allPowsOfX, expectedValues)),
CartesianIndividual.CrossOver,
new Generate((r) => new CartesianIndividual(polynomialOrder, r)),
pop);
ages.NicheStrat = new NicheDensityStrategy(
ages,
(l, r) => CartesianIndividual.Distance((CartesianIndividual)l, (CartesianIndividual)r));
ages.GoThroughGenerations();
for (int i = 0; i < 4; ++i)
{
int ix = (ages.Champions.Count / 4) * i;
Log.Info(ages.Champions[ix]);
}
Log.Info(ages.Champions.Last());
}
static void Main(string[] args)
{
var pop = new List <IIndividual>(32);
Console.WriteLine("Read from file individuals?(y/n)");
var yayornay = Console.ReadLine();
if (yayornay == "y")
{
Console.WriteLine("File path");
var path = Console.ReadLine();
string [] strArr = null;
try{
strArr = File.ReadAllLines(path);
}
catch (Exception e)
{
Console.WriteLine(e.Message);
Console.ReadKey(false);
Environment.Exit(1);
}
foreach (var str in strArr)
{
Console.WriteLine("Read " + str);
if (str.Trim() == string.Empty)
{
continue;
}
pop.Add(new GotchaIndividual(str));
}
}
else
{
Console.WriteLine("Creating individuals");
for (var ii = 0; ii < 32; ++ii)
{
pop.Add(new GotchaIndividual());
}
}
Ages myGA = new Ages(
1000,
new CompareEvaluate(Evaluate),
GotchaIndividual.GarboCrossoverOperator,
(r) => new GotchaIndividual(),
pop);
myGA.SetRandomSeed(0);
myGA.GoThroughGenerations();
Console.ReadKey();
}
public Ages.EvaluatedIndividual Generation()
{
Ages.GoThroughGenerations();
Ages.EvaluatedIndividual champ = Ages.Champions.Last();
return(champ);
}