public Chromosome[] reproduce(Chromosome[] intermediate)
{
Rand = new Random();
Crossover crossover = new Crossover();
Mutation mutator = new Mutation();
foreach (Chromosome c in intermediate)
{
int value = Rand.Next(0, 10);
if (0.1 * value < crossoverRate)
{
crossover.evolve(c, null);
}
}
foreach (Chromosome c in intermediate)
{
int value = Rand.Next(0, 10);
if (0.1 * value < mutationRate)
{
mutator.mutate(c);
}
}
return intermediate;
}
private string generateCipherText(Chromosome c)
{
char[] ciphertext = new char[340];
foreach (char allele in c.Alleles)
{
int i = 0;
foreach (int letter in Cipher.Cipher[i])
{
ciphertext[letter-1] = allele;
}
i++;
}
return ciphertext.ToString();
}
public Fitness(Chromosome[] population, Z340 cipher)
{
Population = population;
Cipher = cipher;
Search = new ngram[10];
Search[0] = new ngram("th", 2);
Search[1] = new ngram("he", 1);
Search[2] = new ngram("in", 1);
Search[3] = new ngram("er", 1);
Search[4] = new ngram("an", 1);
Search[5] = new ngram("ed", 1);
Search[6] = new ngram("the", 5);
Search[7] = new ngram("ing", 5);
Search[8] = new ngram("and", 5);
Search[9] = new ngram("eee", -5);
}
public Chromosome[] GeneratePopulation()
{
Population = new Chromosome[popSize];
char[] values = new char[ChromosomeLength];;
R = new Random();
for(int i = 0; i<popSize; i++)
{
values = new char[ChromosomeLength];
for (int j = 0; j < ChromosomeLength; j++)
{
values[j] = GenerateValue();
}
Population[i] = new Chromosome(values);
}
return Population;
}
public Chromosome mutate(Chromosome c)
{
return new Chromosome(null);
}
public Selection(Chromosome[] Population )
{
population = Population;
}
public Chromosome evolve(Chromosome alpha, Chromosome beta)
{
return new Chromosome(null);
}
public Chromosome evolve(Chromosome alpha, Chromosome beta)
{
return(new Chromosome(null));
}