Modifier and Type | Class and Description |
---|---|
class |
EmptyScoreFunction
An empty score function.
|
Modifier and Type | Method and Description |
---|---|
CalculateScore |
ParallelScore.getScoreFunction() |
Constructor and Description |
---|
ParallelScore(Population thePopulation,
GeneticCODEC theCODEC,
List<AdjustScore> theAdjusters,
CalculateScore theScoreFunction,
int theThreadCount)
Construct the parallel score calculation object.
|
Modifier and Type | Method and Description |
---|---|
CalculateScore |
EvolutionaryAlgorithm.getScoreFunction() |
Modifier and Type | Method and Description |
---|---|
CalculateScore |
BasicEA.getScoreFunction() |
Constructor and Description |
---|
BasicEA(Population thePopulation,
CalculateScore theScoreFunction)
Construct an EA.
|
TrainEA(Population thePopulation,
CalculateScore theScoreFunction)
Create a trainer for a score function.
|
Modifier and Type | Class and Description |
---|---|
class |
MultiObjectiveFitness
A multi-objective fitness function.
|
Modifier and Type | Method and Description |
---|---|
CalculateScore |
FitnessObjective.getScore() |
Modifier and Type | Method and Description |
---|---|
void |
MultiObjectiveFitness.addObjective(double weight,
CalculateScore fitnessFunction)
Add an objective.
|
Constructor and Description |
---|
FitnessObjective(double weight,
CalculateScore score)
Construct the fitness objective.
|
Constructor and Description |
---|
MLMethodGeneticAlgorithm.MLMethodGeneticAlgorithmHelper(Population thePopulation,
CalculateScore theScoreFunction)
Construct the helper.
|
MLMethodGeneticAlgorithm(MethodFactory phenotypeFactory,
CalculateScore calculateScore,
int populationSize)
Construct a method genetic algorithm.
|
Modifier and Type | Method and Description |
---|---|
CalculateScore |
AbstractPrgGenerator.getScore() |
Modifier and Type | Method and Description |
---|---|
void |
AbstractPrgGenerator.setScore(CalculateScore score) |
Modifier and Type | Class and Description |
---|---|
class |
ZeroEvalScoreFunction
This is a very simple evaluation function that simply passes in all zeros for
the input arguments.
|
Modifier and Type | Method and Description |
---|---|
static TrainEA |
NEATUtil.constructNEATTrainer(CalculateScore calculateScore,
int inputCount,
int outputCount,
int populationSize) |
static TrainEA |
NEATUtil.constructNEATTrainer(NEATPopulation population,
CalculateScore calculateScore)
Construct a NEAT (or HyperNEAT trainer.
|
Modifier and Type | Class and Description |
---|---|
class |
TrainingSetScore
Calculate a score based on a training set.
|
Modifier and Type | Method and Description |
---|---|
CalculateScore |
NeuralSimulatedAnnealing.getCalculateScore() |
Constructor and Description |
---|
NeuralSimulatedAnnealing(MLEncodable network,
CalculateScore calculateScore,
double startTemp,
double stopTemp,
int cycles)
Construct a simulated annleaing trainer for a encodable MLMethod.
|
Modifier and Type | Field and Description |
---|---|
protected CalculateScore |
NeuralPSO.m_calculateScore |
Constructor and Description |
---|
NeuralPSO(BasicNetwork network,
Randomizer randomizer,
CalculateScore calculateScore,
int populationSize)
Constructor.
|
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