public override ISolution Clone()
{
GEPSolution clone = new GEPSolution(mPop, mTrees.Count);
clone.Copy(this);
return(clone);
}
public GEPSolution CloneWithoutGPTree()
{
GEPSolution clone = new GEPSolution(mPop, mTrees.Count);
clone.mTrees.Clear();
for (int i = 0; i < mTrees.Count; ++i)
{
clone.mTrees.Add(((GEPProgram)mTrees[i]).CloneWithoutGPTree());
}
clone.mFitness = mFitness;
clone.mIsFitnessValid = mIsFitnessValid;
clone.mObjectiveValue = mObjectiveValue;
foreach (string attrname in mAttributes.Keys)
{
clone.mAttributes[attrname] = mAttributes[attrname];
}
return(clone);
}
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();
}
