public override IChromosome CreateNew()
{
var toReturn = new SudokuPermutationsChromosome(TargetSudoku);
return(toReturn);
}
public Sudoku ResoudreSudoku(Sudoku s)
{
var populationSize = 100000;
var sudokuChromosome = new SudokuPermutationsChromosome(s);
var fitness = new SudokuFitness(s);
var selection = new EliteSelection();
var crossover = new UniformCrossover();
var mutation = new UniformMutation();
var population = new Population(populationSize, populationSize, sudokuChromosome);
var ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation)
{
Termination = new OrTermination(new ITermination[]
{
new FitnessThresholdTermination(0),
new GenerationNumberTermination(80)
})
};
ga.Start();
var bestIndividual = (ISudokuChromosome)(ga.Population.BestChromosome);
var solutions = bestIndividual.GetSudokus();
return(solutions[0]);
}