public class BoltzmannSelection extends FitProportionateSelection
Like FitProportionateSelection this is not appropriate for steady-state evolution. If you're not familiar with the relative advantages of selection methods and just want a good one, use TournamentSelection instead. Not appropriate for multiobjective fitnesses.
Note: Fitnesses must be non-negative. 0 is assumed to be the worst fitness.
Typical Number of Individuals Produced Per produce(...) call
Always 1.
Parameters
| base.starting-temperature double = some large number (defaults to 1.0) |
(the starting temperature for our simulated annealing style adjusted fitness proportions) |
| base.cooling-rate double = some smaller number (defaults to 0.0 which causes BoltzmannSelection to behave just as FitProportionateSelection would) |
(how slow, or fast, do you want to cool the annealing fitness proportions?) |
Default Base
select.boltzmann
| Modifier and Type | Field and Description |
|---|---|
private double |
coolingRate
Cooling rate
|
static String |
P_BOLTZMANN
Default base
|
static String |
P_COOLING_RATE
Cooling rate parameter
|
static String |
P_STARTING_TEMPERATURE
Starting temperature parameter
|
private double |
startingTemperature
Starting temperature
|
fitnesses, P_FITNESSPROPORTIONATEINDS_PRODUCEDNO_PROBABILITY, P_PROB, probability| Constructor and Description |
|---|
BoltzmannSelection() |
| Modifier and Type | Method and Description |
|---|---|
(package private) double |
boltzmannExpectedValue(double fitness,
EvolutionState s) |
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.
|
void |
setup(EvolutionState state,
Parameter base)
Sets up the BreedingPipeline.
|
finishProducing, produceproduce, produces, typicalIndsProducedclone, getProbability, pickRandom, preparePipeline, setProbability, setupProbabilitiespublic static final String P_BOLTZMANN
public static final String P_STARTING_TEMPERATURE
public static final String P_COOLING_RATE
private double startingTemperature
private double coolingRate
public Parameter defaultBase()
PrototypedefaultBase in interface PrototypedefaultBase in class FitProportionateSelectionpublic void setup(EvolutionState state, Parameter base)
BreedingSourceThe 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 Prototypesetup in interface Setupsetup in class BreedingSourcePrototype.setup(EvolutionState,Parameter)public void prepareToProduce(EvolutionState s, int subpopulation, int thread)
SelectionMethodprepareToProduce in class FitProportionateSelectiondouble boltzmannExpectedValue(double fitness,
EvolutionState s)
Copyright © 2014 Evolutionary Computation Laboratory at George Mason University. All rights reserved.