public override float Evaluate(Individual individual)
{
SymbolPhenotype phenotype = (SymbolPhenotype)individual.Phenotype;
// Create a hashmap of the sequences
HashSet <Int64> hashSet = new HashSet <Int64>();
// Check how many local rules are broken
int errors = 0;
Int64 pair;
int count;
if (Local)
{
count = 1;
}
else
{
count = phenotype.symbols.Count - 1;
}
for (int d = 0; d < count; d++)
{
hashSet.Clear();
for (int i = 0; i < phenotype.symbols.Count - 1 - d; i++)
{
// And two 32 bit integers into a 64 bit integer
pair = phenotype.symbols[i];
pair = pair << 32;
pair |= (long)phenotype.symbols[i + 1 + d];
if (hashSet.Contains(pair))
{
errors++;
}
else
{
hashSet.Add(pair);
}
}
}
// Return the max fitness minus the errors
if (Local)
{
return(phenotype.symbols.Count - errors);
}
else
{
return((phenotype.symbols.Count - 2) * (phenotype.symbols.Count - 3) / 2 - errors);
}
//return 1.0f / (1 + errors);
}
public override Phenotype Develop(Genotype genotype)
{
SymbolPhenotype symbolPhenotype = new SymbolPhenotype();
BinaryGenotype binaryGenotype = (BinaryGenotype)genotype;
int symbol = 0;
for (int i = 0; i < binaryGenotype.NumBits; i++)
{
symbol += binaryGenotype.BitVector[i] << (i % SymbolSize);
if (i % SymbolSize == SymbolSize - 1)
{
symbolPhenotype.symbols.Add(symbol % S);
symbol = 0;
}
}
return(symbolPhenotype);
}
