ec.breed
Class GenerationSwitchPipeline
java.lang.Object
|
+--ec.BreedingSource
|
+--ec.BreedingPipeline
|
+--ec.breed.GenerationSwitchPipeline
- All Implemented Interfaces:
- java.lang.Cloneable, Prototype, RandomChoiceChooser, java.io.Serializable, Setup, SteadyStateBSourceForm
- public class GenerationSwitchPipeline
- extends BreedingPipeline
GenerationSwitchPipeline is a simple BreedingPipeline which switches its source depending
on the generation. If the generation number is < n, then GenerationSwitchPipeline uses
source.0. If the generation number if >= n, then GenerationSwitchPipeline uses source.1.
Important Note: Because GenerationSwitchPipeline gets the generation number
from the EvolutionState, and this number is not protected by a mutex, if you create
an EvolutionState or Breeder which uses multiple threads that can update the generation
number as they like, you could cause a race condition. This doesn't occur with the
present EvolutionState objects provided with ECJ, but you should be aware of the
possibility.
Typical Number of Individuals Produced Per produce(...) call
Defined as the max of its children's responses.
Number of Sources
2
Parameters
base.generate-max
bool = true (default) or false |
(Each time produce(...) is called, should the GenerationSwitchPipeline
force all its sources to produce exactly the same number of individuals as the largest
typical number of individuals produced by any source in the group?) |
base.switch-at
int >= 0 |
(The generation we will switch at) |
Default Base
breed.generation-switch
- See Also:
- Serialized Form
Method Summary |
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. |
int |
typicalIndsProduced()
Returns the max of typicalIndsProduced() of all its children |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
P_SWITCHAT
public static final java.lang.String P_SWITCHAT
P_MULTIBREED
public static final java.lang.String P_MULTIBREED
P_GEN_MAX
public static final java.lang.String P_GEN_MAX
NUM_SOURCES
public static final int NUM_SOURCES
maxGeneratable
public int maxGeneratable
generateMax
public boolean generateMax
generationSwitch
public int generationSwitch
GenerationSwitchPipeline
public GenerationSwitchPipeline()
defaultBase
public Parameter defaultBase()
- Description copied from interface:
Prototype
- Returns the default base for this prototype.
This should generally be implemented by building off of the static base()
method on the DefaultsForm object for the prototype's package. This should
be callable during setup(...).
numSources
public int numSources()
- Description copied from class:
BreedingPipeline
- Returns the number of sources to this pipeline. Called during
BreedingPipeline's setup. Be sure to return a value > 0, or
DYNAMIC_SOURCES which indicates that setup should check the parameter
file for the parameter "num-sources" to make its determination.
- Overrides:
numSources
in class BreedingPipeline
setup
public void setup(EvolutionState state,
Parameter base)
- Description copied from class:
BreedingSource
- Sets up the BreedingPipeline. You can use state.output.error here
because the top-level caller promises to call exitIfErrors() after calling
setup. Note that probability might get modified again by
an external source if it doesn't normalize right.
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}.
- Overrides:
setup
in class BreedingPipeline
- Following copied from class:
ec.BreedingSource
- See Also:
Prototype.setup(EvolutionState,Parameter)
typicalIndsProduced
public int typicalIndsProduced()
- Returns the max of typicalIndsProduced() of all its children
- Overrides:
typicalIndsProduced
in class BreedingPipeline
produce
public int produce(int min,
int max,
int start,
int subpopulation,
Individual[] inds,
EvolutionState state,
int thread)
throws java.lang.CloneNotSupportedException
- Description copied from class:
BreedingSource
- 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. max must be >= min, and min must be >= 1. For example, crossover
might typically produce two individuals, tournament selection might typically
produce a single individual, etc.
- Overrides:
produce
in class BreedingSource