ec.select
Class MultiSelection

java.lang.Object
  extended by ec.BreedingSource
      extended by ec.SelectionMethod
          extended by ec.select.MultiSelection
All Implemented Interfaces:
Prototype, Setup, RandomChoiceChooser, java.io.Serializable, java.lang.Cloneable

public class MultiSelection
extends SelectionMethod

MultiSelection is a SelectionMethod which stores some n subordinate SelectionMethods. Each time it must produce an individual, it picks one of these SelectionMethods at random and has it do the production instead.

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

Parameters

base.num-selects
int >= 1
(The number of subordinate SelectionMethods)
base.select.n
classname, inherits and != SelectionMethod
(Subordinate SelectionMethod n)

Default Base
select.multiselect

Parameter bases

base.select.n
Subordinate SelectionMethod n

Version:
1.0
Author:
Sean Luke
See Also:
Serialized Form

Field Summary
static java.lang.String P_MULTISELECT
           
static java.lang.String P_NUMSELECTS
           
static java.lang.String P_SELECT
           
 SelectionMethod[] selects
          The MultiSelection's individuals
 
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
MultiSelection()
           
 
Method Summary
 java.lang.Object clone()
          Creates a new individual cloned from a prototype, and suitable to begin use in its own evolutionary context.
 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.
 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.
 boolean produces(EvolutionState state, Population newpop, int subpopulation, int thread)
          A default version of produces -- this method always returns true under the assumption that the selection method works with all Fitnesses.
 void setup(EvolutionState state, Parameter base)
          Sets up the BreedingPipeline.
 
Methods inherited from class ec.SelectionMethod
finishProducing, preparePipeline, typicalIndsProduced
 
Methods inherited from class ec.BreedingSource
getProbability, pickRandom, setProbability, setupProbabilities
 
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

P_NUMSELECTS

public static final java.lang.String P_NUMSELECTS
See Also:
Constant Field Values

P_SELECT

public static final java.lang.String P_SELECT
See Also:
Constant Field Values

P_MULTISELECT

public static final java.lang.String P_MULTISELECT
See Also:
Constant Field Values

selects

public SelectionMethod[] selects
The MultiSelection's individuals

Constructor Detail

MultiSelection

public MultiSelection()
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(...).


clone

public java.lang.Object clone()
Description copied from interface: Prototype
Creates a new individual cloned from a prototype, and suitable to begin use in its own evolutionary context.

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.

Specified by:
clone in interface Prototype
Overrides:
clone in class BreedingSource

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}.

Specified by:
setup in interface Prototype
Specified by:
setup in interface Setup
Overrides:
setup in class BreedingSource
See Also:
Prototype.setup(EvolutionState,Parameter)

produces

public boolean produces(EvolutionState state,
                        Population newpop,
                        int subpopulation,
                        int thread)
Description copied from class: SelectionMethod
A default version of produces -- this method always returns true under the assumption that the selection method works with all Fitnesses. If this isn't the case, you should override this to return your own assessment.

Overrides:
produces in class SelectionMethod

prepareToProduce

public void prepareToProduce(EvolutionState s,
                             int subpopulation,
                             int thread)
Description copied from class: SelectionMethod
A default version of prepareToProduce which does nothing.

Overrides:
prepareToProduce in class SelectionMethod

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.

Specified by:
produce in class SelectionMethod

produce

public int produce(int min,
                   int max,
                   int start,
                   int subpopulation,
                   Individual[] inds,
                   EvolutionState state,
                   int thread)
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