private BasketListGenome GetBasketGenomeWithFitness(BasketDTO CurrBasket, string p_strUserName, float[] Wights)
{
BasketListGenome BasketGenomObject = new BasketListGenome(CurrBasket, (FROM_PRODUCTS / 2));
if (p_strUserName != null)
{
BasketGenomObject.UserName = p_strUserName;
}
this.CalcFitness(BasketGenomObject, Wights);
return(BasketGenomObject);
}
private BasketListGenome CalcFitness(BasketListGenome BasketGenomObject, float[] Wights)
{
// init the matrix
float[][] Matrix = new float[BasketGenomObject.BasketObject.basketItems.Count][];
for (int i = 0; i < Matrix.Length; i++)
{
Matrix[i] = new float[enumFitnessSize];
}
BasketGenomObject.MakeBasketMatrix(ref Matrix);
float[] Params = BasketGenomObject.GetBasketNormalizedParams(Matrix);
float Grade = BasketGenomObject.FitnessFunction(Params, Wights);
return(BasketGenomObject);
}
private Population GenerateNewPopulation(string p_strUserName, float[] Wights, List <BasketDTO> listBaskets)
{
List <BasketListGenome> Generation = new List <BasketListGenome>();
foreach (BasketDTO CurrBasket in listBaskets)
{
BasketListGenome BasketGenomObject = this.GetBasketGenomeWithFitness(CurrBasket, p_strUserName, Wights);
Generation.Add(BasketGenomObject);
}
Population.IdialBaskets = null;
return(new Population(
Generation,
NUMBER_OF_BASKETS,
FROM_PRODUCTS / 2,
NUMBER_OF_BASKETS,
NUMBER_OF_BASKETS,
MUTATION_PRECENT,
MIN_FITNESS,
MAX_FITNESS,
Wights));
}
