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java.lang.Object | +--ec.BreedingSource | +--ec.BreedingPipeline | +--ec.breed.BufferedBreedingPipeline
If empty, a BufferedBreedingPipeline makes a request of exactly num-inds individuals from a single child source; it then uses these individuals to fill requests (returning min each time), until the buffer is emptied, at which time it grabs exactly num-inds more individuals, and so on.
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
Field Summary | |
Individual[] |
buffer
|
int |
currentSize
|
static int |
INDS_PRODUCED
|
static int |
NUM_SOURCES
|
static java.lang.String |
P_BUFFERED
|
static java.lang.String |
P_BUFSIZE
|
Fields inherited from class ec.BreedingPipeline |
DYNAMIC_SOURCES,
P_NUMSOURCES,
P_SOURCE,
sources,
V_SAME |
Fields inherited from class ec.BreedingSource |
CHECKBOUNDARY,
DEFAULT_PRODUCED,
NO_PROBABILITY,
P_PROB,
probability,
UNUSED |
Constructor Summary | |
BufferedBreedingPipeline()
|
Method Summary | |
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 generated with one call of produce(...) -- by default this is set to 1; you should override this if 1 is not appropriate. |
Methods inherited from class ec.BreedingPipeline |
preparePipeline,
produces,
protoClone |
Methods inherited from class ec.BreedingSource |
getProbability,
pickRandom,
protoCloneSimple,
setProbability,
setupProbabilities |
Methods inherited from class java.lang.Object |
clone,
equals,
finalize,
getClass,
hashCode,
notify,
notifyAll,
toString,
wait,
wait,
wait |
Field Detail |
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
Constructor Detail |
public BufferedBreedingPipeline()
Method Detail |
public Parameter defaultBase()
public int numSources()
public int typicalIndsProduced()
public void setup(EvolutionState state, Parameter base)
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}.
Prototype.setup(EvolutionState,Parameter)
public void prepareToProduce(EvolutionState state, int subpopulation, int thread)
public int produce(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread) throws java.lang.CloneNotSupportedException
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