|
JAGA Homepage | |||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||
| Uses of GAParameterSet in org.jaga.definitions |
|---|
| Methods in org.jaga.definitions with parameters of type GAParameterSet | |
|---|---|
Individual |
SelectionAlgorithm.select(Population population,
int age,
GAParameterSet params)
Selects an individual from the specified population according to the fitness. |
Individual[] |
SelectionAlgorithm.select(Population population,
int howMany,
int age,
GAParameterSet params)
Selects a spacified number of individuals from the population according to their fitness. |
Individual[] |
ReproductionAlgorithm.reproduce(Individual[] parents,
GAParameterSet params)
Reproduces the specified individuals. |
Individual |
IndividualsFactory.createDefaultIndividual(GAParameterSet params)
Creates a new default individual. |
Individual |
IndividualsFactory.createRandomIndividual(GAParameterSet params)
Creates a random individual according to this factory's current internal settings and expariment paramanters. |
Individual |
IndividualsFactory.createSpecificIndividual(java.lang.Object init,
GAParameterSet params)
Creates a new individual and initialises it to the specified value(s). |
GAResult |
GeneticAlgorithm.exec(GAParameterSet parameters)
Runs this master algorithm with the specified experimet paramenters. |
Fitness |
FitnessEvaluationAlgorithm.evaluateFitness(Individual individual,
int age,
Population population,
GAParameterSet params)
Evaluates the fitness of a spscified individual. |
| Uses of GAParameterSet in org.jaga.exampleApplications |
|---|
| Methods in org.jaga.exampleApplications with parameters of type GAParameterSet | |
|---|---|
Fitness |
Example2Fitness.evaluateFitness(Individual individual,
int age,
Population population,
GAParameterSet params)
|
Fitness |
Example1Fitness.evaluateFitness(Individual individual,
int age,
Population population,
GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.exampleApplications.proteinLocation |
|---|
| Methods in org.jaga.exampleApplications.proteinLocation with parameters of type GAParameterSet | |
|---|---|
private void |
ProgressiveTestGroupSizeHook.startBoost(GAParameterSet params)
|
private void |
ProgressiveTestGroupSizeHook.stopBoost(GAParameterSet params)
|
void |
ProgressiveTestGroupSizeHook.foundNewResult(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
ProgressiveTestGroupSizeHook.generationChanged(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
| Constructors in org.jaga.exampleApplications.proteinLocation with parameters of type GAParameterSet | |
|---|---|
ProgressiveTestGroupSizeHook(ProteinGroup allPositives,
ProteinGroup allNegatives,
ProteinGroup testPositives,
ProteinGroup testNegatives,
int initialTestSetSize,
int testSetSizeDelta,
double triggerFitness,
double mutationBoost,
int boostStartTimeout,
int boostStopTimeout,
GAParameterSet params)
|
|
| Uses of GAParameterSet in org.jaga.fitnessEvaluation.largerNumbers |
|---|
| Methods in org.jaga.fitnessEvaluation.largerNumbers with parameters of type GAParameterSet | |
|---|---|
Fitness |
LargerDecimals.evaluateFitness(Individual individual,
int age,
Population population,
GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.fitnessEvaluation.multiplexer |
|---|
| Methods in org.jaga.fitnessEvaluation.multiplexer with parameters of type GAParameterSet | |
|---|---|
Fitness |
MultiplexerFitness.evaluateFitness(Individual individual,
int age,
Population population,
GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.fitnessEvaluation.proteinLocation |
|---|
| Methods in org.jaga.fitnessEvaluation.proteinLocation with parameters of type GAParameterSet | |
|---|---|
Fitness |
ProteinLocationTrainer.evaluateFitness(Individual individual,
int age,
Population population,
GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.hooks |
|---|
| Methods in org.jaga.hooks with parameters of type GAParameterSet | |
|---|---|
void |
SimpleGAHook.initialisationDone(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
SimpleGAHook.foundNewResult(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
SimpleGAHook.generationChanged(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
SimpleGAHook.terminationConditionApplies(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
SimpleGAHook.selectedForReproduction(SimpleGA caller,
Individual[] selectedParents,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
SimpleGAHook.reproduced(SimpleGA caller,
Individual[] children,
Individual[] parents,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
SimpleGAHook.fitnessCalculated(SimpleGA caller,
Individual updatedIndividual,
Population pop,
int age,
GAParameterSet params)
|
void |
DebugHook.initialisationDone(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
DebugHook.foundNewResult(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
DebugHook.generationChanged(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet paramss)
|
void |
DebugHook.terminationConditionApplies(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
DebugHook.selectedForReproduction(SimpleGA caller,
Individual[] selectedParents,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
DebugHook.reproduced(SimpleGA caller,
Individual[] children,
Individual[] parents,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
DebugHook.fitnessCalculated(SimpleGA caller,
Individual updatedIndividual,
Population pop,
int age,
GAParameterSet params)
|
void |
BetterResultHook.generationChanged(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet paramss)
|
void |
BetterResultHook.selectedForReproduction(SimpleGA caller,
Individual[] selectedParents,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
BetterResultHook.reproduced(SimpleGA caller,
Individual[] children,
Individual[] parents,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
BetterResultHook.fitnessCalculated(SimpleGA caller,
Individual updatedIndividual,
Population pop,
int age,
GAParameterSet params)
|
void |
AnalysisHook.initialisationDone(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
AnalysisHook.populationReinitialised(Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
AnalysisHook.foundNewResult(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
AnalysisHook.generationChanged(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet paramss)
|
void |
AnalysisHook.terminationConditionApplies(SimpleGA caller,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
AnalysisHook.selectedForReproduction(SimpleGA caller,
Individual[] selectedParents,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
AnalysisHook.reproduced(SimpleGA caller,
Individual[] children,
Individual[] parents,
Population pop,
int age,
GAResult result,
GAParameterSet params)
|
void |
AnalysisHook.fitnessCalculated(SimpleGA caller,
Individual updatedIndividual,
Population pop,
int age,
GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.individualRepresentation.booleanFormulas |
|---|
| Methods in org.jaga.individualRepresentation.booleanFormulas with parameters of type GAParameterSet | |
|---|---|
Individual |
BooleanFormulaTreeFactory.createDefaultIndividual(GAParameterSet params)
|
Individual |
BooleanFormulaTreeFactory.createRandomIndividual(GAParameterSet params)
|
Individual |
BooleanFormulaTreeFactory.createSpecificIndividual(java.lang.Object init,
GAParameterSet params)
|
BooleanFormulaTree |
BooleanFormulaTreeFactory.clone(BooleanFormulaTree template,
GAParameterSet params)
|
BooleanFormulaTreeNode |
BooleanFormulaTreeFactory.createRandomNode(int thisDepth,
GAParameterSet params)
|
private BooleanFormulaTreeNode |
BooleanFormulaTreeFactory.createRandomStopNode(GAParameterSet params)
|
private BooleanFormulaTreeNode |
BooleanFormulaTreeFactory.createOneNodeOfRandomType(java.lang.Class[] nodeTypes,
GAParameterSet params)
|
java.lang.Long |
BooleanFormulaTree.selectRandomNode(GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.individualRepresentation.greycodedNumbers |
|---|
| Methods in org.jaga.individualRepresentation.greycodedNumbers with parameters of type GAParameterSet | |
|---|---|
Individual |
NDecimalsIndividualSimpleFactory.createDefaultIndividual(GAParameterSet params)
|
Individual |
NDecimalsIndividualSimpleFactory.createRandomIndividual(GAParameterSet params)
|
Individual |
NDecimalsIndividualSimpleFactory.createSpecificIndividual(java.lang.Object init,
GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.individualRepresentation.proteinLocation |
|---|
| Uses of GAParameterSet in org.jaga.masterAlgorithm |
|---|
| Fields in org.jaga.masterAlgorithm declared as GAParameterSet | |
|---|---|
private GAParameterSet |
ReusableSimpleGA.parameters
|
| Constructors in org.jaga.masterAlgorithm with parameters of type GAParameterSet | |
|---|---|
ReusableSimpleGA(GAParameterSet parameters)
|
|
InitialPopulationGA(GAParameterSet parameters,
double eliteProportion)
|
|
InitialPopulationGA(GAParameterSet parameters,
double eliteProportion,
double badProportion)
|
|
InitialPopulationGA(java.lang.Object[] initData,
GAParameterSet parameters,
double eliteProportion)
|
|
InitialPopulationGA(java.lang.Object[] initData,
GAParameterSet parameters,
double eliteProportion,
double badProportion)
|
|
ElitistGA(GAParameterSet parameters,
double eliteProportion)
|
|
ElitistGA(GAParameterSet parameters,
double eliteProportion,
double badProportion)
|
|
| Uses of GAParameterSet in org.jaga.reproduction |
|---|
| Methods in org.jaga.reproduction with parameters of type GAParameterSet | |
|---|---|
abstract Individual[] |
XOver.reproduce(Individual[] parents,
GAParameterSet params)
|
abstract Individual[] |
Mutation.reproduce(Individual[] parents,
GAParameterSet params)
|
Individual[] |
CombinedReproductionAlgorithm.reproduce(Individual[] parents,
GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.reproduction.booleanFormulas |
|---|
| Methods in org.jaga.reproduction.booleanFormulas with parameters of type GAParameterSet | |
|---|---|
Individual[] |
FunctionTreeXOver.reproduce(Individual[] parents,
GAParameterSet params)
|
private Individual[] |
FunctionTreeXOver.copyParents(Individual[] parents,
GAParameterSet params)
|
Individual[] |
FunctionTreeMutation.reproduce(Individual[] parents,
GAParameterSet params)
|
private BooleanFormulaTree |
FunctionTreeMutation.mutate(BooleanFormulaTree parent,
GAParameterSet params)
|
private BooleanFormulaTree |
FunctionTreeMutation.createSpecificIndividual(java.lang.Object init,
GAParameterSet params)
|
private BooleanFormulaTreeFactory |
FunctionTreeMutation.fetchFactory(GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.reproduction.greycodedNumbers |
|---|
| Methods in org.jaga.reproduction.greycodedNumbers with parameters of type GAParameterSet | |
|---|---|
Individual[] |
SimpleBinaryXOver.reproduce(Individual[] parents,
GAParameterSet params)
|
protected Individual[] |
SimpleBinaryXOver.makeCopyOfParents(Individual[] parents,
GAParameterSet params)
|
private boolean |
SimpleBinaryXOver.kidsSatisfyConstraints(NDecimalsIndividual[] kids,
GAParameterSet params)
|
private NDecimalsIndividual[] |
SimpleBinaryXOver.createKidsFromEncoding(GAParameterSet params,
BitString c1,
BitString c2)
|
Individual[] |
SimpleBinaryMutation.reproduce(Individual[] parents,
GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.reproduction.proteinLocation |
|---|
| Uses of GAParameterSet in org.jaga.selection |
|---|
| Methods in org.jaga.selection with parameters of type GAParameterSet | |
|---|---|
Individual |
TwoTournamentProbabalisticSelection.select(Population population,
int age,
GAParameterSet params)
|
Individual[] |
TwoTournamentProbabalisticSelection.select(Population population,
int howMany,
int age,
GAParameterSet params)
|
Individual |
TournamentSelection.select(Population population,
int age,
GAParameterSet params)
|
Individual[] |
TournamentSelection.select(Population population,
int howMany,
int age,
GAParameterSet params)
|
Individual |
RouletteWheelSelection.select(Population population,
int age,
GAParameterSet params)
|
Individual[] |
RouletteWheelSelection.select(Population population,
int howMany,
int age,
GAParameterSet params)
|
private Individual |
RouletteWheelSelection.spinRoulette(double cumSum,
Population pop,
GAParameterSet params)
|
| Uses of GAParameterSet in org.jaga.util |
|---|
| Classes in org.jaga.util that implement GAParameterSet | |
|---|---|
class |
DefaultParameterSet
TODO: Complete these comments. |
|
JAGA Homepage | |||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||