public ICandidate[] CrossOver(ICandidate parentA, ICandidate parentB, int crossOverIndex)
{
//true true, false , false, true
var piA = parentA.GetGenomes();
var piB = parentB.GetGenomes();
var childAItems = piA.Substring(0, crossOverIndex) + piB.Substring(crossOverIndex, geneCount - crossOverIndex);
var childBItems = piB.Substring(0, crossOverIndex) + piA.Substring(crossOverIndex, geneCount - crossOverIndex);
var childA = new Knapsack(childAItems);
var childB = new Knapsack(childBItems);
return(new Knapsack[] { childA, childB });
}
static void Main(string[] args)
{
//setup variables
var nrOfItems = 100;
var weightLimit = 1000;
var lowerLimit = 0;
var upperLimit = 300;
var mutationRate = 0.5;
var populationSize = 2500;
var crossOverRate = 0.5;
Knapsack.Initialize(weightLimit, nrOfItems);
ItemList.Initialize(lowerLimit, upperLimit, nrOfItems);
IGeneticAlgorithmImpl solver = new Solver(ItemList.Items, populationSize, crossOverRate, mutationRate);
solver.Run();
}