public Core.Sudoku SolveGeneticSharp(Core.Sudoku s)
{
var populationSize = 5000;
IChromosome sudokuChromosome = new SudokuPermutationsChromosome(s);
//IChromosome sudokuChromosome = new SudokuCellsChromosome(s);
var fitnessThreshold = 0;
var crossoverProbability = 0.75f;
var mutationProbability = 0.2f;
var fitness = new SudokuFitness(s);
var selection = new EliteSelection();
var crossover = new UniformCrossover();
var mutation = new UniformMutation();
IChromosome bestIndividual;
var solution = s;
int nbErrors = int.MaxValue;
do
{
var population = new Population(populationSize, populationSize, sudokuChromosome);
var ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation)
{
Termination = new OrTermination(new ITermination[]
{
new FitnessThresholdTermination(fitnessThreshold),
new FitnessStagnationTermination(10),
//new GenerationNumberTermination(generationNb)
//new TimeEvolvingTermination(TimeSpan.FromSeconds(10)),
}),
MutationProbability = mutationProbability,
CrossoverProbability = crossoverProbability,
OperatorsStrategy = new TplOperatorsStrategy(),
};
ga.GenerationRan += delegate(object sender, EventArgs args)
{
bestIndividual = (ga.Population.BestChromosome);
solution = ((ISudokuChromosome)bestIndividual).GetSudokus()[0];
nbErrors = solution.NbErrors(s);
Console.WriteLine($"Generation #{ga.GenerationsNumber}: best individual has {nbErrors} errors");
};
ga.Start();
//bestIndividual = (ga.Population.BestChromosome);
//solution = ((ISudokuChromosome)bestIndividual).GetSudokus()[0];
//nbErrors = solution.NbErrors(s);
if (nbErrors == 0)
{
break;
}
else
{
populationSize *= 2;
Console.WriteLine($"Genetic search failed with {nbErrors} resulting errors, doubling population to {populationSize}");
}
} while (true);
return(solution);
}
public override IChromosome CreateNew()
{
var toReturn = new SudokuPermutationsChromosome(TargetSudoku);
return(toReturn);
}
public override IChromosome CreateNew()
{
var toReturn = new SudokuPermutationsChromosome(TargetSudokuBoard, ExtendedMask, Length);
return((IChromosome)toReturn);
}