ec.parsimony
Class ProportionalTournament

java.lang.Object
  |
  +--ec.BreedingSource
        |
        +--ec.SelectionMethod
              |
              +--ec.parsimony.ProportionalTournament
All Implemented Interfaces:
java.lang.Cloneable, Prototype, RandomChoiceChooser, java.io.Serializable, Setup, SteadyStateBSourceForm

public class ProportionalTournament
extends SelectionMethod
implements SteadyStateBSourceForm

Does a tournament based on fitness with probability prob, and based on size with probability 1-prob.

Typical Number of Individuals Produced Per produce(...) call
Always 1.

Default Base
select.prob-tournament

See Also:
Serialized Form

Field Summary
static int DEFAULT_SIZE
          Default size
 double fitnessPressureProb
          The probability of having the tournament based on fitness
static java.lang.String P_PICKWORST
           
static java.lang.String P_PROBABILITY
          The parameter for the probability of having the tournament based on fitness
static java.lang.String P_SIZE
          size parameter
static java.lang.String P_TOURNAMENT
          default base
 boolean pickWorst
          Do we pick the worst instead of the best?
 double probabilityOfSelection
          What's our probability of selection? If 1.0, we always pick the "good" individual.
 int size
          Size of the tournament
 
Fields inherited from class ec.SelectionMethod
INDS_PRODUCED
 
Fields inherited from class ec.BreedingSource
CHECKBOUNDARY, DEFAULT_PRODUCED, NO_PROBABILITY, P_PROB, probability, UNUSED
 
Constructor Summary
ProportionalTournament()
           
 
Method Summary
 Parameter defaultBase()
          Returns the default base for this prototype.
 void individualReplaced(SteadyStateEvolutionState state, int subpopulation, int thread, int individual)
          Called whenever an individual has been replaced by another in the population.
 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.
 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.
 void sourcesAreProperForm(SteadyStateEvolutionState state)
          Issue an error (not a fatal -- we guarantee that callers of this method will also call exitIfErrors) if any of your sources, or their sources, etc., are not of SteadyStateBSourceForm.
 
Methods inherited from class ec.SelectionMethod
finishProducing, preparePipeline, prepareToProduce, produces, typicalIndsProduced
 
Methods inherited from class ec.BreedingSource
getProbability, pickRandom, protoClone, protoCloneSimple, setProbability, setupProbabilities
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

P_TOURNAMENT

public static final java.lang.String P_TOURNAMENT
default base

P_PICKWORST

public static final java.lang.String P_PICKWORST

P_SIZE

public static final java.lang.String P_SIZE
size parameter

DEFAULT_SIZE

public static final int DEFAULT_SIZE
Default size

P_PROBABILITY

public static final java.lang.String P_PROBABILITY
The parameter for the probability of having the tournament based on fitness

fitnessPressureProb

public double fitnessPressureProb
The probability of having the tournament based on fitness

size

public int size
Size of the tournament

probabilityOfSelection

public double probabilityOfSelection
What's our probability of selection? If 1.0, we always pick the "good" individual.

pickWorst

public boolean pickWorst
Do we pick the worst instead of the best?
Constructor Detail

ProportionalTournament

public ProportionalTournament()
Method Detail

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(...).

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 BreedingSource
Following copied from class: ec.BreedingSource
See Also:
Prototype.setup(EvolutionState,Parameter)

produce

public int produce(int subpopulation,
                   EvolutionState state,
                   int thread)
Description copied from class: SelectionMethod
An alternative form of "produce" special to Selection Methods; selects an individual from the given subpopulation and returns its position in that subpopulation.
Overrides:
produce in class SelectionMethod

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 SelectionMethod

individualReplaced

public void individualReplaced(SteadyStateEvolutionState state,
                               int subpopulation,
                               int thread,
                               int individual)
Description copied from interface: SteadyStateBSourceForm
Called whenever an individual has been replaced by another in the population.
Specified by:
individualReplaced in interface SteadyStateBSourceForm

sourcesAreProperForm

public void sourcesAreProperForm(SteadyStateEvolutionState state)
Description copied from interface: SteadyStateBSourceForm
Issue an error (not a fatal -- we guarantee that callers of this method will also call exitIfErrors) if any of your sources, or their sources, etc., are not of SteadyStateBSourceForm.
Specified by:
sourcesAreProperForm in interface SteadyStateBSourceForm