public GeneticPathFinding(int[] order, OptimizationParameters parameters, DelegateFitness.CalcFitness calcFitness, CancellationToken ct, Random random)
{
var populationInitialization = new StandardPathInitialization(random);
var population = populationInitialization.InitializePopulation(order, parameters.PopulationSize, 0);
_genetic = new BaseGenetic(parameters, population, calcFitness, ct, random);
}
public GeneticWarehouse(OptimizationParameters optimizationParameters, int warehouseSize,
DelegateFitness.CalcFitness calcFitness, CancellationToken ct, Random random)
{
_warehouseSize = warehouseSize;
int[] itemsToSort = new int[_warehouseSize];
for (int i = 1; i < _warehouseSize; i++)
{
itemsToSort[i - 1] = i;
}
var populationInitialization = new StandardPathInitialization(random);
var population = populationInitialization.InitializePopulation(itemsToSort, optimizationParameters.PopulationSize, 0);
_genetic = new BaseGenetic(optimizationParameters, population, calcFitness, ct, random);
wm = new WarehouseModule();
_genetic.LoadModule(wm);
}
