public class MutatePromotePipeline extends GPBreedingPipeline
MutatePromotePipeline tries tries times to find a tree that has at least one promotable node. It then picks randomly from all the promotable nodes in the tree, and promotes one. If it cannot find a valid tree in tries times, it gives up and simply copies the individual.
"Promotion" means to take a node n whose parent is m, and replacing the subtree rooted at m with the subtree rooted at n.
A "Promotable" node means a node which is capable of promotion given the existing type constraints. In general to promote a node foo, foo must have a parent node, and must be type-compatible with the child slot that its parent fills.
Typical Number of Individuals Produced Per produce(...) call
...as many as the source produces
Number of Sources
1
Parameters
base.tries int >= 1 |
(number of times to try finding valid pairs of nodes) |
base.tree.0 0 < int < (num trees in individuals), if exists |
(tree chosen for mutation; if parameter doesn't exist, tree is picked at random) |
Default Base
gp.breed.mutate-promote
Modifier and Type | Field and Description |
---|---|
static int |
NUM_SOURCES |
static java.lang.String |
P_MUTATEPROMOTE |
static java.lang.String |
P_NUM_TRIES |
P_NODESELECTOR, P_TREE, TREE_UNFIXED
DYNAMIC_SOURCES, likelihood, mybase, P_LIKELIHOOD, P_NUMSOURCES, P_SOURCE, sources, V_SAME
NO_PROBABILITY, P_PROB, probability
Constructor and Description |
---|
MutatePromotePipeline() |
Modifier and Type | Method and Description |
---|---|
Parameter |
defaultBase()
Returns the default base for this prototype.
|
int |
numSources()
Returns the number of sources to this pipeline.
|
int |
produce(int min,
int max,
int start,
int subpopulation,
Individual[] inds,
EvolutionState state,
int thread)
Produces n individuals from the given subpopulation
and puts them into inds[start...start+n-1],
where n = Min(Max(q,min),max), where q is the "typical" number of
individuals the BreedingSource produces in one shot, and returns
n.
|
void |
setup(EvolutionState state,
Parameter base)
Sets up the BreedingPipeline.
|
produces
clone, finishProducing, individualReplaced, maxChildProduction, minChildProduction, preparePipeline, prepareToProduce, reproduce, sourcesAreProperForm, typicalIndsProduced
getProbability, pickRandom, setProbability, setupProbabilities
public static final java.lang.String P_MUTATEPROMOTE
public static final java.lang.String P_NUM_TRIES
public static final int NUM_SOURCES
public Parameter defaultBase()
Prototype
public int numSources()
BreedingPipeline
numSources
in class BreedingPipeline
public void setup(EvolutionState state, Parameter base)
BreedingSource
The most common modification is to normalize it with some other set of probabilities, then set all of them up in increasing summation; this allows the use of the fast static BreedingSource-picking utility method, BreedingSource.pickRandom(...). In order to use this method, for example, if four breeding source probabilities are {0.3, 0.2, 0.1, 0.4}, then they should get normalized and summed by the outside owners as: {0.3, 0.5, 0.6, 1.0}.
setup
in interface Prototype
setup
in interface Setup
setup
in class BreedingPipeline
Prototype.setup(EvolutionState,Parameter)
public int produce(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
BreedingSource
produce
in class BreedingSource