public class CheckingPipeline extends BreedingPipeline
In some cases you may wish instead to produce individuals which are individually checked for validity, rather than together. The easiest way to do this is to add the CheckingPipeline as a child to a ForceBreedingPipeline which has been set with num-inds=1.
Typical Number of Individuals Produced Per produce(...) call
...as many as either child produces
Number of Sources
2
Parameters
| base.num-times int >= 1 |
(number of times we try to get children from source 0 before giving up and using source 1) |
Default Base
breed.check
| Modifier and Type | Field and Description |
|---|---|
static int |
NUM_SOURCES |
(package private) int |
numTimes |
static String |
P_CHECK |
static String |
P_NUMTIMES |
DYNAMIC_SOURCES, likelihood, mybase, P_LIKELIHOOD, P_NUMSOURCES, P_SOURCE, sources, V_SAMENO_PROBABILITY, P_PROB, probability| Constructor and Description |
|---|
CheckingPipeline() |
| Modifier and Type | Method and Description |
|---|---|
boolean |
allValid(Individual[] inds,
int numInds,
int subpopulation,
EvolutionState state,
int thread) |
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.
|
clone, finishProducing, individualReplaced, maxChildProduction, minChildProduction, preparePipeline, prepareToProduce, produces, reproduce, sourcesAreProperForm, typicalIndsProducedgetProbability, pickRandom, setProbability, setupProbabilitiespublic static final String P_CHECK
public static final String P_NUMTIMES
public static final int NUM_SOURCES
int numTimes
public Parameter defaultBase()
Prototypepublic int numSources()
BreedingPipelinenumSources in class BreedingPipelinepublic void setup(EvolutionState state, Parameter base)
BreedingSourceThe 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 Prototypesetup in interface Setupsetup in class BreedingPipelinePrototype.setup(EvolutionState,Parameter)public boolean allValid(Individual[] inds, int numInds, int subpopulation, EvolutionState state, int thread)
public int produce(int min,
int max,
int start,
int subpopulation,
Individual[] inds,
EvolutionState state,
int thread)
BreedingSourceproduce in class BreedingSourceCopyright © 2014 Evolutionary Computation Laboratory at George Mason University. All rights reserved.