/// <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);
}
/// <summary>
/// Generates a single, validated and randomised deck.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void GenDeckButton_Click(object sender, EventArgs e)
{
GeneFunctions g = new GeneFunctions();
List <HSGAIndividual> l = new List <HSGAIndividual>();
l.Add(new HSGAIndividual());
l.Add(new HSGAIndividual());
l.Add(new HSGAIndividual());
l.Add(new HSGAIndividual());
l[0].winRateFitness = 25f;
l[0].standardDeviationFitness = 1.2f;
l[0].legalFitness = -1f;
l[1].winRateFitness = 43f;
l[1].standardDeviationFitness = 1.1f;
l[1].legalFitness = -1f;
l[2].winRateFitness = 50f;
l[2].standardDeviationFitness = 2.0f;
l[2].legalFitness = -1f;
l[3].winRateFitness = 5f;
l[3].standardDeviationFitness = 0.11f;
l[3].legalFitness = -1f;
g.SelectIndividual(l, logger);
}
