public class BufferedBreedingPipeline extends BreedingPipeline
What is this useful for? Well, let's say for example that you want to cross over two individuals, then cross them over again. You'd like to hook up two CrossoverPipelines in series. Unfortunately, CrossoverPipeline takes two sources; even if you set them to the same source, it requests one individual from the first source and then one from the second, where what you really want is for it to request two individuals from a single source (the other CrossoverPipeline).
The solution to this is to hook a CrossoverPipeline as the source to a BufferedBreedingPipeline of buffer-size 2 (or some multiple of 2 actually). Then the BufferedBreedingPipeline is set as both sources to another CrossoverPipeline.
Typical Number of Individuals Produced Per produce(...) call
1
Number of Sources
1
Parameters
base.num-inds int >= 1 |
(the buffer size) |
Default Base
breed.buffered
Modifier and Type | Field and Description |
---|---|
Individual[] |
buffer |
int |
currentSize |
static int |
INDS_PRODUCED |
static int |
NUM_SOURCES |
static java.lang.String |
P_BUFFERED |
static java.lang.String |
P_BUFSIZE |
DYNAMIC_SOURCES, likelihood, mybase, P_LIKELIHOOD, P_NUMSOURCES, P_SOURCE, sources, V_SAME
NO_PROBABILITY, P_PROB, probability
Constructor and Description |
---|
BufferedBreedingPipeline() |
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.
|
void |
prepareToProduce(EvolutionState state,
int subpopulation,
int thread)
Called before produce(...), usually once a generation, or maybe only
once if you're doing steady-state evolution, to let the breeding source
"warm up" prior to producing.
|
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.
|
int |
typicalIndsProduced()
Returns the "typical" number of individuals produced -- by default
this is the minimum typical number of individuals produced by any
children sources of the pipeline.
|
clone, finishProducing, individualReplaced, maxChildProduction, minChildProduction, preparePipeline, produces, reproduce, sourcesAreProperForm
getProbability, pickRandom, setProbability, setupProbabilities
public static final java.lang.String P_BUFSIZE
public static final java.lang.String P_BUFFERED
public static final int INDS_PRODUCED
public static final int NUM_SOURCES
public Individual[] buffer
public int currentSize
public Parameter defaultBase()
Prototype
public int numSources()
BreedingPipeline
numSources
in class BreedingPipeline
public int typicalIndsProduced()
BreedingPipeline
typicalIndsProduced
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 void prepareToProduce(EvolutionState state, int subpopulation, int thread)
BreedingSource
prepareToProduce
in class BreedingPipeline
public int produce(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
BreedingSource
produce
in class BreedingSource