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. 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
Linear Supertypes
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Instance Constructors
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new
DifferentialEvolution(generations: Int = 1000, alpha: Int = 100, scalingFactor: Double = 0.5)
- generations
the number of generations
- alpha
number of individuals per generation
- scalingFactor
the scaling factor
Value Members
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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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- val alpha: Int
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final
def
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- protected[java.lang]
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- @native() @HotSpotIntrinsicCandidate() @throws( ... )
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def
create: DifferentialEvolutionModule
Factory method.
Factory method.
- returns
fully-configured optimizer
- Definition Classes
- DifferentialEvolution → Opt4JAlgorithm
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final
def
eq(arg0: AnyRef): Boolean
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- val generations: Int
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final
def
getClass(): Class[_]
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final
def
notifyAll(): Unit
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- val scalingFactor: Double
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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final
def
wait(arg0: Long, arg1: Int): Unit
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