public abstract class BreedingSource extends Object implements Prototype, RandomChoiceChooserD
A BreedingSource may have parent sources which feed it as well. Some BreedingSources, SelectionMethods, are meant solely to plug into other BreedingSources, BreedingPipelines. BreedingPipelines can plug into other BreedingPipelines, and can also be used to provide the final Individual meant to populate a new generation.
Think of BreedingSources as Streams of Individuals; at one end of the stream is the provider, a SelectionMethod, which picks individuals from the old population. At the other end of the stream is a BreedingPipeline which hands you the finished product, a small set of new Individuals for you to use in populating your new population.
Parameters
base.prob 0.0 <= double <= 1.0, or undefined |
(probability this BreedingSource gets chosen. Undefined is only valid if the caller of this BreedingSource doesn't need a probability) |
Modifier and Type | Field and Description |
---|---|
static double |
NO_PROBABILITY |
static String |
P_PROB |
double |
probability
The probability that this BreedingSource will be chosen
to breed over other BreedingSources.
|
Constructor and Description |
---|
BreedingSource() |
Modifier and Type | Method and Description |
---|---|
Object |
clone()
Creates a new individual cloned from a prototype,
and suitable to begin use in its own evolutionary
context.
|
void |
fillStubs(EvolutionState state,
BreedingSource source) |
abstract void |
finishProducing(EvolutionState state,
int subpopulation,
int thread)
Called after produce(...), usually once a generation, or maybe only
once if you're doing steady-state evolution (at the end of the run).
|
double |
getProbability(Object obj)
Returns obj's probability
|
static int |
pickRandom(BreedingSource[] sources,
double prob)
Picks a random source from an array of sources, with their
probabilities normalized and summed as follows: 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}.
|
void |
preparePipeline(Object hook)
A hook which should be passed to all your subsidiary breeding
sources.
|
abstract 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.
|
abstract int |
produce(int min,
int max,
int subpopulation,
ArrayList<Individual> inds,
EvolutionState state,
int thread,
HashMap<String,Object> misc)
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.
|
abstract boolean |
produces(EvolutionState state,
Population newpop,
int subpopulation,
int thread)
Returns true if this BreedingSource, when attached to the given
subpopulation, will produce individuals of the subpopulation's species.
|
void |
setProbability(Object obj,
double prob)
Sets obj's probability
|
void |
setup(EvolutionState state,
Parameter base)
Sets up the BreedingPipeline.
|
static void |
setupProbabilities(BreedingSource[] sources)
Normalizes and arranges the probabilities in sources so that they
are usable by pickRandom(...).
|
abstract int |
typicalIndsProduced()
Returns the "typical" number of individuals
generated with one call of produce(...).
|
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
defaultBase
public static final String P_PROB
public static final double NO_PROBABILITY
public double probability
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}.
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}.
setup
in interface Prototype
setup
in interface Setup
Prototype.setup(EvolutionState,Parameter)
public final double getProbability(Object obj)
RandomChoiceChooserD
getProbability
in interface RandomChoiceChooserD
public final void setProbability(Object obj, double prob)
RandomChoiceChooserD
setProbability
in interface RandomChoiceChooserD
public static int pickRandom(BreedingSource[] sources, double prob)
public static void setupProbabilities(BreedingSource[] sources)
public abstract int typicalIndsProduced()
public abstract boolean produces(EvolutionState state, Population newpop, int subpopulation, int thread)
public abstract void prepareToProduce(EvolutionState state, int subpopulation, int thread)
public abstract void finishProducing(EvolutionState state, int subpopulation, int thread)
public abstract int produce(int min, int max, int subpopulation, ArrayList<Individual> inds, EvolutionState state, int thread, HashMap<String,Object> misc)
public Object clone()
Prototype
Typically this should be a full "deep" clone. However, you may share certain elements with other objects rather than clone hem, depending on the situation:
Implementations.
public Object clone()
{
try
{
return super.clone();
}
catch ((CloneNotSupportedException e)
{ throw new InternalError(); } // never happens
}
public Object clone()
{
try
{
MyObject myobj = (MyObject) (super.clone());
// put your deep-cloning code here...
}
catch ((CloneNotSupportedException e)
{ throw new InternalError(); } // never happens
return myobj;
}
public Object clone()
{
MyObject myobj = (MyObject) (super.clone());
// put your deep-cloning code here...
return myobj;
}
public void fillStubs(EvolutionState state, BreedingSource source)
public void preparePipeline(Object hook)
ECJ at present does not custom-implement or call this method: it's available for you. Becuase it has custom functionality, this method might get called more than once, and by various objects as needed. If you use it, you should determine somehow how to use it to send information under the assumption that it might be sent by nested items in the pipeline; you don't want to scribble over each other's calls! Note that this method should travel *all* breeding source paths regardless of whether or not it's redundant to do so.
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