public override TGPProgram Clone()
{
GEPProgram program = new GEPProgram(mOperatorSet, mVariableSet, mConstantSet, mPrimitiveSet, mChromosomeBasis, mChromosomeValueUpperBound);
program.Copy(this);
return(program);
}
public override void Copy(TGPProgram rhs)
{
base.Copy(rhs);
GEPProgram rhs_ = (GEPProgram)rhs;
mChromosome = new List <int>();
int chromosome_length = rhs_.mChromosome.Count;
for (int i = 0; i < chromosome_length; ++i)
{
mChromosome.Add(rhs_.mChromosome[i]);
}
}
public GEPProgram CloneWithoutGPTree()
{
GEPProgram clone = new GEPProgram(mOperatorSet, mVariableSet, mConstantSet, mPrimitiveSet, mChromosomeBasis, mChromosomeValueUpperBound);
clone.mChromosome = new List <int>();
int chromosome_length = mChromosome.Count;
for (int i = 0; i < chromosome_length; ++i)
{
clone.mChromosome.Add(mChromosome[i]);
}
clone.mDepth = mDepth;
clone.mLength = mLength;
return(clone);
}
public void UniformMutate()
{
for (int tindex = 0; tindex < mTrees.Count; ++tindex)
{
GEPProgram program = (GEPProgram)mTrees[tindex];
double mutation_rate = mPop.MacroMutationRate;
int upper_bound = program.CodonGeneUpperBound;
List <int> codon = program.Chromosome;
for (int i = 0; i < codon.Count; ++i)
{
if (DistributionModel.GetUniform() < mutation_rate)
{
codon[i] = DistributionModel.NextInt(upper_bound);
}
}
}
TrashFitness();
}
public void OnePointCrossover(GEPSolution rhs)
{
for (int tindex = 0; tindex < mTrees.Count; ++tindex)
{
GEPProgram gp1 = (GEPProgram)mTrees[tindex];
GEPProgram gp2 = (GEPProgram)rhs.mTrees[tindex];
List <int> codon1 = gp1.Chromosome;
List <int> codon2 = gp2.Chromosome;
int cut_point_index = 1 + DistributionModel.NextInt(codon1.Count - 2);
for (int i = cut_point_index; i < codon1.Count; ++i)
{
int temp = codon1[i];
codon1[i] = codon2[i];
codon2[i] = temp;
}
}
TrashFitness();
rhs.TrashFitness();
}
public override object CreateProgram()
{
GEPProgram program = new GEPProgram(mOperatorSet, mVariableSet, mConstantSet, mPrimitiveSet, mChromosomeBasis, ChromosomeValueUpperBound);
return(program);
}
