Type Members

1.  trait CoolingSchedule extends AnyRef
2.  case class DifferentialEvolution(generations: Int = 1000, alpha: Int = 100, scalingFactor: Double = 0.5) extends Opt4JAlgorithm with _EvolutionaryAlgorithm with Product with Serializable

   Represents algorithm for differential evolution.

   Represents algorithm for differential evolution. Caution: seems to only support real-valued parameters so far.

   generations

   the number of generations

   alpha

   number of individuals per generation

   scalingFactor

   the scaling factor

   See also

   DifferentialEvolutionModule

3.  class DoubleGenotypeCreator extends Creator[DoubleGenotype]
4.  class DoubleGenotypeNeighbor extends Neighbor[Genotype]
5.  class DoubleGenotypeToSimpleParamsDecoder extends Decoder[DoubleGenotype, SimpleParameters]
6.  case class EvolutionaryAlgorithm(generations: Int = 1000, alpha: Int = 100, mu: Int = 25, lambda: Int = 25, rate: Double = 0.95) extends Opt4JAlgorithm with _EvolutionaryAlgorithm with Product with Serializable

   Represents an evolutionary algorithm.

   Represents an evolutionary algorithm.

   generations

   number of generations

   alpha

   number of individuals per generation

   mu

   number of parents per generation

   lambda

   number of offspring per generation

   rate

   rate of the crossover operation

   See also

   EvolutionaryAlgorithmModule

7.  case class ExponentialCoolingSchedule(initialTemperature: Double = 10, finalTemperature: Double = 0, alpha: Double = 0.995) extends CoolingSchedule with Product with Serializable
8.  case class HyperbolicCoolingSchedule(initialTemperature: Double = 10, finalTemperature: Double = 0) extends CoolingSchedule with Product with Serializable
9.  class IterationListener extends OptimizerIterationListener

   Listens to the end of an iteration within the optimizer and calls the corresponding event handling methods from Opt4JSetup.

   Listens to the end of an iteration within the optimizer and calls the corresponding event handling methods from Opt4JSetup.

   See also

   Opt4JSetup

10.  case class LinearCoolingSchedule(initialTemperature: Double = 10, finalTemperature: Double = 0) extends CoolingSchedule with Product with Serializable
11.  trait Opt4JAlgorithm extends AnyRef

    Common interface of all optimization algorithms in Opt4J.

    Common interface of all optimization algorithms in Opt4J. Their parameters and default values as taken from the original source code.

12.  class Opt4JSetup extends AbstractOptimizerSetup with Logging

    Support for Opt4J.

13.  case class ParticleSwarmOptimization(iterations: Int = 100, archiveSize: Int = 10, particles: Int = 10, perturbation: Double = 0.5) extends Opt4JAlgorithm with Product with Serializable
14.  case class RandomSearch(iterations: Int = 1000, batchsize: Int = 25) extends Opt4JAlgorithm with _RandomSearch with Product with Serializable

    Represents an optimizer using random search.

    Represents an optimizer using random search.

    iterations

    the number of iterations

    batchsize

    the batch size (number of replications for the randomly sampled individual of the given iteration)

    See also

    RandomSearchModule

15.  case class SearchSpace(searchSpace: List[BoundedSearchSpaceDimension[Double]]) extends Product with Serializable
16.  class SearchSpaceModule extends AbstractModule
17.  class SimpleParameterCreator extends Creator[CompositeGenotype[String, Genotype]]

    Represents genotype by simply creating random parameter combinations.

    Represents genotype by simply creating random parameter combinations. It is important that Opt4J's built-in genotypes are used, since this allows to re-use the built-in operators for mutation and recombination.

    See http://opt4j.sourceforge.net/documentation/3.0/tutorial.xhtml for details.

    See also

    org.opt4j.core.problem.Genotype

18.  class SimpleParameterDecoder extends Decoder[CompositeGenotype[String, Genotype], SimpleParameters]

    Decodes genotype into phenotype.

    Decodes genotype into phenotype.

    Here, this is simply a matter of reading out the parameter values and putting them into a map representing a parameter assignment.

    See also

    org.opt4j.core.problem.Decoder

19.  class SimpleParameterEvaluator extends Evaluator[SimpleParameters] with Logging

    Evaluates phenotypes.

    Evaluates phenotypes.

    See also

    org.opt4j.core.problem.Evaluator

20.  case class SimulatedAnnealing(iterations: Int = 100000, schedule: CoolingSchedule = LinearCoolingSchedule()) extends Opt4JAlgorithm with _SimulatedAnnealing with Product with Serializable

    Represents an optimizer based on simulated annealing.

    Represents an optimizer based on simulated annealing.

    iterations

    the number of iterations

    schedule

    The type of the Cooling Schedule (Linear, Hyperbolic, Exponential)

    See also

    SimulatedAnnealingModule