public static void crossover(GeneticTree current, GeneticTree other)
{
List <string> currentIndices = current._nodeIndices.Where(x => x.Length != 1).ToList();
List <string> otherIndices = other._nodeIndices.Where(x => x.Length != 1).ToList();
int currentIndexAux = Rng.Rnd.Next(currentIndices.Count);
int otherIndexAux = Rng.Rnd.Next(otherIndices.Count);
string currentIndex = currentIndices[currentIndexAux];
string otherIndex = otherIndices[otherIndexAux];
GeneticNode iterCurrent = current._root;
GeneticNode iterOther = other._root;
for (int i = 1; i < currentIndex.Length; i++)
{
int index = GeneticTree._TREE_NODES_CHAR_TO_INT[currentIndex[i]];
iterCurrent = iterCurrent._children._children[index];
}
for (int i = 1; i < otherIndex.Length; i++)
{
int index = GeneticTree._TREE_NODES_CHAR_TO_INT[otherIndex[i]];
iterOther = iterOther._children._children[index];
}
current.attachNode(iterOther, currentIndex);
other.attachNode(iterCurrent, otherIndex);
current.recalculateIndices();
other.recalculateIndices();
}
public static void mutateOpportunistic(GeneticTree current)
{
NodeStatistics stats = current.allNodesStats(current._root, 0, "", 0);
List <NodeStatsPair> opportunities = new List <NodeStatsPair>();
foreach (var item in current._nodeStatsDictionary)
{
//Debug.WriteLine("Node " + item.Key + " /// Operator variance: " + item.Value._opVariance + " Variable variance: " + item.Value._varVariance + " Avg depth: " + item.Value._avgDepth + " Avg branching: " + item.Value._avgBranching);
opportunities.Add(new NodeStatsPair(item.Key, item.Value._avgBranching + item.Value._avgDepth + item.Value._opVariance + item.Value._varVariance));
}
float max = opportunities.Max(x => x._mutationValue);
foreach (var item in opportunities)
{
item._mutationValue = max - item._mutationValue + 1; // make less branchy, depthy and variant more likely to be mutated
}
opportunities = opportunities.OrderByDescending(x => x._mutationValue).ToList();
float[] wSum = new float[opportunities.Count];
wSum[0] = opportunities[0]._mutationValue;
for (int i = 1; i < wSum.Length; i++)
{
wSum[i] = opportunities[i]._mutationValue + wSum[i - 1];
}
float sumF = opportunities.Sum(x => x._mutationValue);
double centil = Rng.Rnd.NextDouble() * sumF;
int index = 0;
for (int i = 0; i < opportunities.Count && centil < wSum[i]; i++)
{
index = i;
}
string currentIndex = opportunities[index]._node;
int newDepth = (int)current._maxDepth - currentIndex.Length + 1;
GeneticTree added = new GeneticTree((uint)newDepth, current._maxBranching);
GeneticNode tmp = current._root;
for (int i = 1; i < currentIndex.Length; i++) // traversing to find proper index
{
index = GeneticTree._TREE_NODES_CHAR_TO_INT[currentIndex[i]];
tmp = tmp._children._children[index];
}
current.attachNode(added._root, currentIndex);
current.recalculateIndices();
}
public static void mutateSwap(GeneticTree current)
{
List <string> currentIndices = current._nodeIndices.Where(x => x.Length != 1).ToList();
int currentIndexAux = Rng.Rnd.Next(currentIndices.Count);
string currentIndex = currentIndices[currentIndexAux];
List <string> otherIndices = current._nodeIndices.
Where(x => x.Length != 1).ToList();
List <string> shorter = otherIndices.Where(x => x.Length <= currentIndex.Length).Where(x => currentIndex.Substring(0, x.Length).CompareTo(x) != 0).ToList();
List <string> longer = otherIndices.Where(x => x.Length > currentIndex.Length).Where(x => x.Substring(0, currentIndex.Length).CompareTo(currentIndex) != 0).ToList();
otherIndices = shorter.Union(longer).ToList();
if (otherIndices == null || otherIndices.Count == 0)
{
return;
}
int otherIndexAux = Rng.Rnd.Next(otherIndices.Count);
string otherIndex = otherIndices[otherIndexAux];
GeneticNode tmp = current._root;
GeneticNode tmp2 = current._root;
for (int i = 1; i < currentIndex.Length; i++)
{
int index = GeneticTree._TREE_NODES_CHAR_TO_INT[currentIndex[i]];
tmp = tmp._children._children[index];
}
for (int i = 1; i < otherIndex.Length; i++)
{
int index = GeneticTree._TREE_NODES_CHAR_TO_INT[otherIndex[i]];
tmp2 = tmp2._children._children[index];
}
current.attachNode(tmp2, currentIndex);
current.attachNode(tmp, otherIndex);
current.recalculateIndices();
}
public static void mutateReplace(GeneticTree current)
{
List <string> currentIndices = current._nodeIndices.Where(x => x.Length != 1).ToList();
int currentIndexAux = Rng.Rnd.Next(currentIndices.Count);
string currentIndex = currentIndices[currentIndexAux];
int newDepth = (int)current._maxDepth - currentIndex.Length + 1;
GeneticTree added = new GeneticTree((uint)newDepth, current._maxBranching);
GeneticNode tmp = current._root;
for (int i = 1; i < currentIndex.Length; i++) // traversing to find proper index
{
int index = GeneticTree._TREE_NODES_CHAR_TO_INT[currentIndex[i]];
tmp = tmp._children._children[index];
}
current.attachNode(added._root, currentIndex);
current.recalculateIndices();
}