protected override GeneticAlgorithm GetGA(SolverParameters parameters)
{
var adamChromosome = new GeniusSquareChromosome();
var population =
new Population(parameters.Population, parameters.Population, adamChromosome);
return(new GeneticAlgorithm(
population,
FitnessProvider,
new EliteSelection(),
new UniformCrossover(),
new IntMutation()));
}
private (GeniusSquareFitness, GeniusSquareChromosome) GetCorrectSolution()
{
// From random seed 85
int[] blockers = new[] { 0, 4, 5, 6, 16, 20, 29 };
var fitness = new GeniusSquareFitness(blockers);
var chromosome = new GeniusSquareChromosome();
// X 2 0 0 X X
// X 2 0 0 6 6
// 2 2 7 7 X 6
// 5 3 X 8 2 2
// 5 3 3 2 2 X
// 5 3 1 1 1 1
// Note: Last two shapes are placed automatically so do not form
// part of the solution
var genes =
new[]
{
0, 144, 0, // 0 = Square
Horizontal, 240, 300, // 1 = Line4
Orientation_2_Of_4, 270, 216, // 2 = S_Shape
Orientation_1_Of_4, 72, 270, // 3 = T_Shape
Orientation_8_Of_8, 0, 0, // 4 = LongL
Vertical, 0, 270, // 5 = Line3
Orientation_2_Of_4, 288, 72, // 6 = ShortL
// Horizontal, 144, 120 // 7 = Line2
// 8 = Unit block
}
.Select(x => new Gene(x)).ToArray();
chromosome.ReplaceGenes(0, genes);
return(fitness, chromosome);
}
