// Check in an individual that has now acquired a fitness value
public void CheckIn(uint chr, float fit)
{
// Make Individual
Individual NewDude = new Individual(chr, chromSize, fit, mutProb);
newP.AddNewInd(NewDude); // Add to newP
nextCIn++; // Count it
//Console.WriteLine("In CheckIn chr fit: " + chr + " " + fit);
}
// Add a new Individual to the population in the next open spot
public int AddNewInd(Individual newDude)
{
int wherePut = -1; // -1 in case something breaks
if (Full)
Console.WriteLine ("Panic! Tried to add too many dudes");
else
{
wherePut = nDudes;
dudes[wherePut] = newDude;
nDudes++; // Increment for next time
}
return wherePut; // Return offset in array where it landed
}
// Breed a new Individual using crossover and mutation
public Individual BreedDude()
{
// Two selection methods to choose from. Typically use one or the other
// but not both. Used both here just to test them.
Individual p1 = SelectRoul(); // Get 2 parents
Individual p2 = SelectTourn();
uint c1 = p1.Chrom; // Extract their chromosomes
uint c2 = p2.Chrom;
if (Util.rand.NextDouble () < crossoverProb) // Probably do crossover
{
uint kidChrom = CrossOver(c1, c2); // Make new chromosome
Individual newDude = new Individual (kidChrom, nBits, mutationProb);
// Make Individual
newDude.Mutate(); // Maybe mutate a bit
return newDude; // Send it back
}
else
// No crossover => Pick one of the parents to return unchanged
return (Util.rand.NextDouble() < 0.5 ? p1 : p2);
}
// Fills population by reading individuals from a file already opened to inStream
// Assumes file is correctly formatted with correct number of lines
public void ReadPop(StreamReader inStream)
{
for (int i = 0; i < popSize; i++)
{
string line = inStream.ReadLine(); // Read a line
string [] tokens = line.Split (delim); // Split into "words"
uint chr = UInt32.Parse(tokens[0]); // Convert words to numbers
int fit = int.Parse(tokens[1]);
// Put Individual in population
dudes [i] = new Individual (chr, nBits, fit, mutationProb);
totFit += fit; // Accumulate total fitness for selection
}
nDudes = popSize; // Show the population full
}
// Fills population with new random chromosomes for generation 0
public void InitPop()
{
for (int i = 0; i < popSize; i++)
{
dudes[i] = new Individual ((uint)Util.rand.Next(nChromVals), nBits,
mutationProb);
}
nDudes = popSize;
totFit = popSize; // Default fitness for each Individual == 1
}
