public class TopSelection extends SelectionMethod
The individual can be cached so it is not recomputed every single time; the cache is cleared after prepareToProduce(...) is called. Note that this means that if there are multiple individuals with the top fitness, and we're caching, only one of them will be returned throughout the series of multiple produce(...) calls.
Typical Number of Individuals Produced Per produce(...) call
Always 1.
Parameters
base.cache bool = true or false (default) |
(should we cache the individual?) |
Default Base
select.top
Modifier and Type | Field and Description |
---|---|
static java.lang.String |
P_CACHE |
static java.lang.String |
P_TOP
Default base
|
INDS_PRODUCED, KEY_PARENTS
NO_PROBABILITY, P_PROB, probability
Constructor and Description |
---|
TopSelection() |
Modifier and Type | Method and Description |
---|---|
void |
cacheBest(int subpopulation,
EvolutionState state,
int thread) |
Parameter |
defaultBase()
Returns the default base for this prototype.
|
void |
prepareToProduce(EvolutionState s,
int subpopulation,
int thread)
A default version of prepareToProduce which does nothing.
|
int |
produce(int subpopulation,
EvolutionState state,
int thread)
An alternative form of "produce" special to Selection Methods;
selects an individual from the given subpopulation and
returns its position in that subpopulation.
|
void |
setup(EvolutionState state,
Parameter base)
Sets up the BreedingPipeline.
|
finishProducing, produce, produces, produceWithoutCloning, typicalIndsProduced
clone, fillStubs, getProbability, pickRandom, preparePipeline, setProbability, setupProbabilities
public static final java.lang.String P_TOP
public static final java.lang.String P_CACHE
public Parameter defaultBase()
Prototype
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 BreedingSource
Prototype.setup(EvolutionState,Parameter)
public void prepareToProduce(EvolutionState s, int subpopulation, int thread)
SelectionMethod
prepareToProduce
in class SelectionMethod
public void cacheBest(int subpopulation, EvolutionState state, int thread)
public int produce(int subpopulation, EvolutionState state, int thread)
SelectionMethod
produce
in class SelectionMethod