class Opt4JSetup extends AbstractOptimizerSetup with Logging
Support for Opt4J.
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- new Opt4JSetup()
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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def
afterEvaluation(f: SingleSolutionAction): ListBuffer[SingleSolutionAction]
- Definition Classes
- AbstractOptimizerSetup
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def
afterEvaluationActions: List[SingleSolutionAction]
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- protected
- Definition Classes
- AbstractOptimizerSetup
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def
afterIteration(f: MultipleSolutionsAction): ListBuffer[MultipleSolutionsAction]
- Definition Classes
- AbstractOptimizerSetup
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def
afterIterationActions: List[MultipleSolutionsAction]
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- Definition Classes
- AbstractOptimizerSetup
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def
afterOptimization(f: MultipleSolutionsAction): ListBuffer[MultipleSolutionsAction]
- Definition Classes
- AbstractOptimizerSetup
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def
afterOptimizationActions: List[MultipleSolutionsAction]
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- AbstractOptimizerSetup
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
execute(): Unit
- Definition Classes
- Opt4JSetup → AbstractOptimizerSetup
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
iterationResultActions: List[MultipleSolutionsAction]
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- Definition Classes
- AbstractOptimizerSetup
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val
logger: Logger
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
objective: Objective
- Definition Classes
- AbstractOptimizerSetup
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def
objectiveFunction: Function2[OptimizationParameters, _, Unit]
- Definition Classes
- AbstractOptimizerSetup
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var
optAlgorithm: Option[Opt4JAlgorithm]
Specifies which optimization algorithm to use.
Specifies which optimization algorithm to use.
- Attributes
- protected[sessl.opt4j]
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def
optimizationResultActions: List[MultipleSolutionsAction]
- Attributes
- protected
- Definition Classes
- AbstractOptimizerSetup
- def optimizer: Opt4JAlgorithm
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def
optimizer_=(a: Opt4JAlgorithm): Unit
Getting/setting the optimization algorithm.
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var
parallelThreads: Int
Controls how many parallel threads to be used.
Controls how many parallel threads to be used. 0 means to exploit all available cores (n_cores), negative numbers x mean that n_cores - |x| threads should be started.
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def
param[X](name: String, lowerBound: X, upperBound: X)(implicit arg0: Numeric[X]): Unit
Add numerical parameter with a name, bounds, but WITHOUT a step size.
Add numerical parameter with a name, bounds, but WITHOUT a step size. Step size this is not supported by the default genotypes (e.g. see
org.opt4j.core.genotype.DoubleGenotype). -
def
param[X](name: String, lowerBound: X, stepSize: X, upperBound: X)(implicit arg0: Numeric[X]): ListBuffer[SearchSpaceDimension[_]]
- Definition Classes
- AbstractOptimizerSetup
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def
param[X](name: String, values: Iterable[X]): ListBuffer[SearchSpaceDimension[_]]
- Definition Classes
- AbstractOptimizerSetup
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val
problemModule: ProblemModule
Defines the Opt4J problem module to be used.
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def
rngSeed: Long
- Definition Classes
- AbstractOptimizerSetup
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lazy val
searchSpace: List[SearchSpaceDimension[_]]
- Definition Classes
- AbstractOptimizerSetup
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def
setObjective(o: Objective): Unit
- Definition Classes
- AbstractOptimizerSetup
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def
setObjectiveFunction(f: ObjectiveFunction[_ <: Objective]): Unit
- Definition Classes
- AbstractOptimizerSetup
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def
setSeed(s: Long): Unit
- Definition Classes
- AbstractOptimizerSetup
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var
showViewer: Boolean
Flag to control whether the GUI of Opt4J is shown during optimization or not.
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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def
withIterationResults(f: MultipleSolutionsAction): ListBuffer[MultipleSolutionsAction]
- Definition Classes
- AbstractOptimizerSetup
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def
withOptimizationResults(f: MultipleSolutionsAction): ListBuffer[MultipleSolutionsAction]
- Definition Classes
- AbstractOptimizerSetup