/// <summary>
/// Produces offspring decks from the current population.
/// </summary>
private List <HSGAIndividual> ProduceNextGeneration(List <HSGAIndividual> localCurrentPop)
{
List <string> cards = new List <string>();
List <HSGAIndividual> localNewPop = new List <HSGAIndividual>();
while (localNewPop.Count != 10)
{
GeneFunctions gene = new GeneFunctions();
List <HSGAIndividual> parents = new List <HSGAIndividual>();
List <HSGAIndividual> children = new List <HSGAIndividual>();
// select parents
parents.Add(gene.SelectIndividual(localCurrentPop, logger));
parents.Add(gene.SelectIndividual(localCurrentPop, logger));
//crossover
children = gene.Crossover(parents, crossoverProbability, logger);
//mutation
children[0].cardList = MutateIndividual(children[0].cardList);
// sort the newly edited list
List <Card> test = new List <Card>();
test.AddRange(children[0].cardList.OrderBy(Card => Card._CardID.Split('_')[1].ToCharArray()[0])
.ThenBy(Card => Card._CardID.Split('_').Count() >= 3 ? Card._CardID.Split('_')[2].ToCharArray()[0] : Card._CardID.Split('_')[1].ToCharArray()[0]).ToList());
children[0].cardList.Clear();
children[0].cardList.AddRange(test);
cards.Clear();
for (int i = 0; i < children[0].cardList.Count; i++)
{
cards.Add(children[0].cardList[i]._CardID);
}
children[1].cardList = MutateIndividual(children[1].cardList);
cards.Clear();
for (int i = 0; i < children[1].cardList.Count; i++)
{
cards.Add(children[1].cardList[i]._CardID);
}
// add children to new population
localNewPop.Add(children[0]);
localNewPop.Add(children[1]);
}
return(localNewPop);
}
