/*
* var functionUnderStudy = new Func<double, double>(x => 0.2 * Math.Pow(x, 3) + 0.1 * Math.Pow(x, 2) - 8 * x);
* var fitFunction = new Func<double, double>(x => -(0.2 * Math.Pow(x, 3) + 0.1 * Math.Pow(x, 2) - 8 * x));
*
* var functionUnderStudy = new Func<double, double>(x => x - Math.Pow(x, 2) + Math.Pow(x, 3));
* var fitFunction = functionUnderStudy;
*
* var functionUnderStudy = new Func<double, double>(Math.Sin);
* var fitFunction = functionUnderStudy;
*/
public static void Main(string[] args)
{
var iterations = 1000;
var functionUnderStudy = new Func <double[], double>(x => 0.2 * Math.Pow(x[0], 3) + 0.1 * Math.Pow(x[0], 2) - 8 * x[0]);
var fitFunction = new Func <double[], double>(x => Math.Sin(x[0]));
var cd = new ChromosomeDefinition(10);
var fc = new Function(functionUnderStudy, fitFunction, -7, 7);
var rd = new ResearchDefinitions(cd, fc, 100, 0.1, 0.5);
var listOfMediumAbsFitness = new List <double>();
var startPop = Fitness.FitPop(
Chromosome.NewRandomPopulation(
rd,
rd.Population));
listOfMediumAbsFitness.Add(startPop.Sum(x => x.Fitness) / startPop.Count);
var preselectedPop = new RouletteWheel().DrawChromosomes(startPop);
var nextGenPop = Fitness.FitPop(PostSelection.CreateNewPopulation(preselectedPop, rd.CrossChance, rd.MutationChance));
var bestChromosome = new BestChromosome()
{
bestChromosome = nextGenPop.Max(x => x),
generation = 1
};
listOfMediumAbsFitness.Add(nextGenPop.Sum(x => x.Fitness) / nextGenPop.Count);
for (int i = 1; i < iterations; i++)
{
nextGenPop = Fitness.FitPop(PostSelection.CreateNewPopulation(nextGenPop, rd.CrossChance, rd.MutationChance));
if (bestChromosome.bestChromosome.AbsFitness < nextGenPop.Max(x => x.AbsFitness))
{
bestChromosome.bestChromosome = nextGenPop.FirstOrDefault(x => x.AbsFitness == nextGenPop.Max(y => y.AbsFitness));
bestChromosome.generation = i + 1;
}
listOfMediumAbsFitness.Add(nextGenPop.Sum(x => x.Fitness) / nextGenPop.Count);
}
listOfMediumAbsFitness.ForEach(Console.WriteLine);
}
private void UpdateLoop()
{
//int currentTick = Environment.TickCount;
//int stopAtTick = currentTick + CurrentTimeLimit;
bool useTimeLimit = CurrentTimeLimit > 0;
bool useIterationLimit = CurrentIterationLimit > 0;
while (Continue)
{
if (NeedsUpdate)
{
Sim.RemoveActions();
Sim.AddActions(true, BestChromosome.Values.Where(y => y > 0).Select(x => CraftingAction.CraftingActions[x]));
NeedsUpdate = false;
if (CopyBestRotationToPopulations)
{
for (int i = 0; i < Populations.Length; i++)
{
Populations[i].PendingBest = BestChromosome.Clone();
}
}
CraftingSim sim = Sim.Clone(true);
Utils.AddRotationFromSim(sim);
FoundBetterRotation(sim);
}
if ((useIterationLimit && (Iterations >= CurrentIterationLimit)))
{
Continue = false;
}
}
Stopped();
}
public static void WriteBestChromosome(BestChromosome chromosome)
{
Console.WriteLine($"Best chromosome from generation {chromosome.generation}: ");
WriteChromosome(chromosome.bestChromosome);
}
