public Chromosome(Chromosome chromosomeToCopy)
{
_chromosomeData = new bool[chromosomeToCopy._chromosomeData.Length];
_isSynchronized = chromosomeToCopy._isSynchronized;
_genes = new Gene[chromosomeToCopy.Genes.Length];
for(int i = 0; i < _genes.Length; ++i)
_genes[i] = new Gene(chromosomeToCopy._genes[i]);
Cook();
}
public Dictionary<string, float> GetDifferences(Chromosome chromosome)
{
Dictionary<string, float> results = new Dictionary<string,float>();
for(int i = 0; i < _genes.Length; ++i)
{
#if DEBUG
if (Object.ReferenceEquals(_genes[i], chromosome._genes[i]))
Debug.WriteLine("The two genes are the same reference!");
#endif
float sub = chromosome._genes[i].Ratio - _genes[i].Ratio;
if (sub != 0)
results.Add("d - " + i + ": ", sub);
}
return results;
}
public SpawnerGroup(Spawner[] spawners, SpawnType[] spawnTypes)
{
m_spawners = spawners;
m_spawnTypes = spawnTypes;
Gene[] genes = new Gene[spawners.Length];
for(int i = 0; i < m_spawners.Length; ++i)
genes[i] = m_spawners[i].Gene;
m_chromosome = new Chromosome(genes);
float totalAppearanceRates = 0;
for (int i = 0; i < spawnTypes.Length; ++i)
totalAppearanceRates += m_spawnTypes[i].appearanceRate;
m_spawnTypes[0].appearanceRate = m_spawnTypes[0].appearanceRate / totalAppearanceRates;
for (int i = 1; i < spawnTypes.Length; ++i)
m_spawnTypes[i].appearanceRate = m_spawnTypes[i].appearanceRate / totalAppearanceRates + m_spawnTypes[i - 1].appearanceRate;
#if DEBUG
string debugstring = "Ratios : ";
for (int i = 0; i < spawnTypes.Length; ++i)
debugstring += " " + m_spawnTypes[i].appearanceRate / totalAppearanceRates;
#endif
}
public void BuildFromParents(SpawnerGroup mum, SpawnerGroup dad)
{
if (mum == null || dad == null)
return;
m_chromosome = mum.m_chromosome.MakeChild(dad.m_chromosome, m_mutationsPerReproduction);
m_chromosome.Mutate(m_mutationsPerReproduction);
m_chromosome.Reheat();
for (int i = 0; i < m_spawners.Length; ++i)
m_spawners[i].Gene = m_chromosome.Genes[i];
m_chromosome.PrintData();
}
protected Chromosome CrossOver(Chromosome mate)
{
if (mate.ChromosomeData.Length != _chromosomeData.Length)
throw new InvalidOperationException("The two chromosomes must have the same length!");
Chromosome newChromosome = new Chromosome(this);
int splitIndex = Globals.Random.Next(0, _chromosomeData.Length);
bool[] newChromosomeData = new bool[_chromosomeData.Length];
for (int i = 0; i < newChromosomeData.Length; ++i)
if (i < splitIndex)
newChromosomeData[i] = _chromosomeData[i];
else
newChromosomeData[i] = mate.ChromosomeData[i];
newChromosome.ChromosomeData = newChromosomeData;
newChromosome.Reheat();
return newChromosome;
}
//Used to generate children for child classes of the Chromosome class
public Chromosome MakeChild(Chromosome mate, int mutationAmount)
{
Chromosome newChromosome = CrossOver(mate);
for (int i = 0; i < mutationAmount; ++i)
newChromosome.Mutate();
newChromosome.Reheat();
return newChromosome;
}