public override int Produce(
int min,
int max,
int subpop,
IList <Individual> inds,
IEvolutionState state,
int thread,
IDictionary <string, object> misc)
{
int start = inds.Count;
// grab n individuals from our source and stick 'em right into inds.
// we'll modify them from there
var n = Sources[0].Produce(min, max, subpop, inds, state, thread, misc);
IntBag[] parentparents = null;
IntBag[] preserveParents = null;
if (misc != null && misc.ContainsKey(KEY_PARENTS))
{
preserveParents = (IntBag[])misc[KEY_PARENTS];
parentparents = new IntBag[2];
misc[KEY_PARENTS] = parentparents;
}
// should we bother?
if (!state.Random[thread].NextBoolean(Likelihood))
{
return(n);
}
var initializer = (GPInitializer)state.Initializer;
for (var q = start; q < n + start; q++)
{
var i = (GPIndividual)inds[q];
if (Tree1 != TREE_UNFIXED && (Tree1 < 0 || Tree1 >= i.Trees.Length))
{
// uh oh
state.Output.Fatal("Internal Crossover Pipeline attempted to fix tree.0 to a value"
+ " which was out of bounds of the array of the individual's trees. "
+ " Check the pipeline's fixed tree values -- they may be negative"
+ " or greater than the number of trees in an individual");
}
if (Tree2 != TREE_UNFIXED && (Tree2 < 0 || Tree2 >= i.Trees.Length))
{
// uh oh
state.Output.Fatal("Internal Crossover Pipeline attempted to fix tree.0 to a value"
+ " which was out of bounds of the array of the individual's trees. "
+ " Check the pipeline's fixed tree values -- they may be negative"
+ " or greater than the number of trees in an individual");
}
var t1 = 0;
var t2 = 0;
if (Tree1 == TREE_UNFIXED || Tree2 == TREE_UNFIXED)
{
do
// pick random trees -- their GPTreeConstraints must be the same
{
if (Tree1 == TREE_UNFIXED)
{
if (i.Trees.Length > 1)
{
t1 = state.Random[thread].NextInt(i.Trees.Length);
}
else
{
t1 = 0;
}
}
else
{
t1 = Tree1;
}
if (Tree2 == TREE_UNFIXED)
{
if (i.Trees.Length > 1)
{
t2 = state.Random[thread].NextInt(i.Trees.Length);
}
else
{
t2 = 0;
}
}
else
{
t2 = Tree2;
}
}while (i.Trees[t1].Constraints(initializer) != i.Trees[t2].Constraints(initializer));
}
else
{
t1 = Tree1;
t2 = Tree2;
// make sure the constraints are okay
if (i.Trees[t1].Constraints(initializer) != i.Trees[t2].Constraints(initializer))
{
// uh oh
state.Output.Fatal("GP Crossover Pipeline's two tree choices are both specified by the user -- but their GPTreeConstraints are not the same");
}
}
// prepare the nodeselectors
NodeSelect0.Reset();
NodeSelect1.Reset();
// pick some nodes
GPNode p1 = null;
GPNode p2 = null;
var res = false;
for (var x = 0; x < NumTries; x++)
{
// pick a node in individual 1
p1 = NodeSelect0.PickNode(state, subpop, thread, i, i.Trees[t1]);
// pick a node in individual 2
p2 = NodeSelect1.PickNode(state, subpop, thread, i, i.Trees[t2]);
// make sure they're not the same node
res = (p1 != p2 &&
(t1 != t2 || NoContainment(p1, p2)) &&
VerifyPoints(initializer, p1, p2) &&
VerifyPoints(initializer, p2, p1)); // 2 goes into 1
if (res)
{
break; // got one
}
}
// if res, then it's time to cross over!
if (res)
{
var oldparent = p1.Parent;
var oldArgPosition = p1.ArgPosition;
p1.Parent = p2.Parent;
p1.ArgPosition = p2.ArgPosition;
p2.Parent = oldparent;
p2.ArgPosition = oldArgPosition;
if (p1.Parent is GPNode)
{
((GPNode)(p1.Parent)).Children[p1.ArgPosition] = p1;
}
else
{
((GPTree)(p1.Parent)).Child = p1;
}
if (p2.Parent is GPNode)
{
((GPNode)(p2.Parent)).Children[p2.ArgPosition] = p2;
}
else
{
((GPTree)(p2.Parent)).Child = p2;
}
i.Evaluated = false; // we've modified it
}
// add the individuals to the population
//inds[q] = i;
inds.Add(i);
if (preserveParents != null)
{
parentparents[0].AddAll(parentparents[1]);
preserveParents[q] = new IntBag(parentparents[0]);
}
}
return(n);
}
public override int Produce(
int min,
int max,
int subpop,
IList <Individual> inds,
IEvolutionState state,
int thread,
IDictionary <string, object> misc)
{
int start = inds.Count;
// how many individuals should we make?
var n = TypicalIndsProduced;
if (n < min)
{
n = min;
}
if (n > max)
{
n = max;
}
// should we bother?
if (!state.Random[thread].NextBoolean(Likelihood))
{
// just load from source 0 and clone 'em
Sources[0].Produce(n, n, subpop, inds, state, thread, misc);
return(n);
}
IntBag[] parentparents = null;
IntBag[] preserveParents = null;
if (misc != null && misc.ContainsKey(KEY_PARENTS))
{
preserveParents = (IntBag[])misc[KEY_PARENTS];
parentparents = new IntBag[2];
misc[KEY_PARENTS] = parentparents;
}
var initializer = (GPInitializer)state.Initializer;
for (var q = start; q < n + start;) // keep on going until we're filled up
{
Parents.Clear();
// grab two individuals from our sources
if (Sources[0] == Sources[1])
{
// grab from the same source
Sources[0].Produce(2, 2, subpop, Parents, state, thread, misc);
}
// grab from different sources
else
{
Sources[0].Produce(1, 1, subpop, Parents, state, thread, misc);
Sources[1].Produce(1, 1, subpop, Parents, state, thread, misc);
}
// at this point, Parents[] contains our two selected individuals
// are our tree values valid?
if (Tree1 != TREE_UNFIXED && (Tree1 < 0 || Tree1 >= ((GPIndividual)Parents[0]).Trees.Length))
{
// uh oh
state.Output.Fatal("GP Crossover Pipeline attempted to fix tree.0 to a value which was out of bounds"
+ " of the array of the individual's trees. Check the pipeline's fixed tree values"
+ " -- they may be negative or greater than the number of trees in an individual");
}
if (Tree2 != TREE_UNFIXED && (Tree2 < 0 || Tree2 >= ((GPIndividual)Parents[1]).Trees.Length))
{
// uh oh
state.Output.Fatal("GP Crossover Pipeline attempted to fix tree.1 to a value which was out of bounds"
+ " of the array of the individual's trees. Check the pipeline's fixed tree values"
+ " -- they may be negative or greater than the number of trees in an individual");
}
var t1 = 0;
var t2 = 0;
if (Tree1 == TREE_UNFIXED || Tree2 == TREE_UNFIXED)
{
do
// pick random trees -- their GPTreeConstraints must be the same
{
if (Tree1 == TREE_UNFIXED)
{
if (((GPIndividual)Parents[0]).Trees.Length > 1)
{
t1 = state.Random[thread].NextInt(((GPIndividual)Parents[0]).Trees.Length);
}
else
{
t1 = 0;
}
}
else
{
t1 = Tree1;
}
if (Tree2 == TREE_UNFIXED)
{
if (((GPIndividual)Parents[1]).Trees.Length > 1)
{
t2 = state.Random[thread].NextInt(((GPIndividual)Parents[1]).Trees.Length);
}
else
{
t2 = 0;
}
}
else
{
t2 = Tree2;
}
}while (((GPIndividual)Parents[0]).Trees[t1].Constraints(initializer) != ((GPIndividual)Parents[1]).Trees[t2].Constraints(initializer));
}
else
{
t1 = Tree1;
t2 = Tree2;
// make sure the constraints are okay
if (((GPIndividual)Parents[0]).Trees[t1].Constraints(initializer) != ((GPIndividual)Parents[1]).Trees[t2].Constraints(initializer))
{
// uh oh
state.Output.Fatal("GP Crossover Pipeline's two tree choices are both specified by the user"
+ " -- but their GPTreeConstraints are not the same");
}
}
// validity results...
var res1 = false;
var res2 = false;
// prepare the nodeselectors
NodeSelect1.Reset();
NodeSelect2.Reset();
// pick some nodes
GPNode p1 = null;
GPNode p2 = null;
for (var x = 0; x < NumTries; x++)
{
// pick a node in individual 1
p1 = NodeSelect1.PickNode(state, subpop, thread, (GPIndividual)Parents[0], ((GPIndividual)Parents[0]).Trees[t1]);
// pick a node in individual 2
p2 = NodeSelect2.PickNode(state, subpop, thread, (GPIndividual)Parents[1], ((GPIndividual)Parents[1]).Trees[t2]);
// check for depth and swap-compatibility limits
res1 = VerifyPoints(initializer, p2, p1); // p2 can fill p1's spot -- order is important!
if (n - (q - start) < 2 || TossSecondParent)
{
res2 = true;
}
else
{
res2 = VerifyPoints(initializer, p1, p2); // p1 can fill p2's spot -- order is important!
}
// did we get something that had both nodes verified?
// we reject if EITHER of them is invalid. This is what lil-gp does.
// Koza only has NumTries set to 1, so it's compatible as well.
if (res1 && res2)
{
break;
}
}
// at this point, res1 AND res2 are valid, OR either res1
// OR res2 is valid and we ran out of tries, OR neither is
// valid and we ran out of tries. So now we will transfer
// to a tree which has res1 or res2 valid, otherwise it'll
// just get replicated. This is compatible with both Koza
// and lil-gp.
// at this point I could check to see if my sources were breeding
// pipelines -- but I'm too lazy to write that code (it's a little
// complicated) to just swap one individual over or both over,
// -- it might still entail some copying. Perhaps in the future.
// It would make things faster perhaps, not requiring all that
// cloning.
// Create some new individuals based on the old ones -- since
// GPTree doesn't deep-clone, this should be just fine. Perhaps we
// should change this to proto off of the main species prototype, but
// we have to then copy so much stuff over; it's not worth it.
var j1 = ((GPIndividual)Parents[0]).LightClone();
GPIndividual j2 = null;
if (n - (q - start) >= 2 && !TossSecondParent)
{
j2 = ((GPIndividual)Parents[1]).LightClone();
}
// Fill in various tree information that didn't get filled in there
j1.Trees = new GPTree[((GPIndividual)Parents[0]).Trees.Length];
if (n - (q - start) >= 2 && !TossSecondParent)
{
j2.Trees = new GPTree[((GPIndividual)Parents[1]).Trees.Length];
}
// at this point, p1 or p2, or both, may be null.
// If not, swap one in. Else just copy the parent.
for (var x = 0; x < j1.Trees.Length; x++)
{
if (x == t1 && res1)
// we've got a tree with a kicking cross position!
{
j1.Trees[x] = ((GPIndividual)Parents[0]).Trees[x].LightClone();
j1.Trees[x].Owner = j1;
j1.Trees[x].Child = ((GPIndividual)Parents[0]).Trees[x].Child.CloneReplacing(p2, p1);
j1.Trees[x].Child.Parent = j1.Trees[x];
j1.Trees[x].Child.ArgPosition = 0;
j1.Evaluated = false;
}
// it's changed
else
{
j1.Trees[x] = ((GPIndividual)Parents[0]).Trees[x].LightClone();
j1.Trees[x].Owner = j1;
j1.Trees[x].Child = (GPNode)((GPIndividual)Parents[0]).Trees[x].Child.Clone();
j1.Trees[x].Child.Parent = j1.Trees[x];
j1.Trees[x].Child.ArgPosition = 0;
}
}
if (n - (q - start) >= 2 && !TossSecondParent)
{
for (var x = 0; x < j2.Trees.Length; x++)
{
if (x == t2 && res2)
// we've got a tree with a kicking cross position!
{
j2.Trees[x] = ((GPIndividual)Parents[1]).Trees[x].LightClone();
j2.Trees[x].Owner = j2;
j2.Trees[x].Child = ((GPIndividual)Parents[1]).Trees[x].Child.CloneReplacing(p1, p2);
j2.Trees[x].Child.Parent = j2.Trees[x];
j2.Trees[x].Child.ArgPosition = 0;
j2.Evaluated = false;
}
// it's changed
else
{
j2.Trees[x] = ((GPIndividual)Parents[1]).Trees[x].LightClone();
j2.Trees[x].Owner = j2;
j2.Trees[x].Child = (GPNode)((GPIndividual)Parents[1]).Trees[x].Child.Clone();
j2.Trees[x].Child.Parent = j2.Trees[x];
j2.Trees[x].Child.ArgPosition = 0;
}
}
}
// add the individuals to the population
inds.Add(j1);
q++;
if (q < n + start && !TossSecondParent)
{
inds.Add(j2);
if (preserveParents != null)
{
parentparents[0].AddAll(parentparents[1]);
preserveParents[q] = parentparents[0];
}
q++;
}
}
return(n);
}