Class

com.danylchuk.swiftlearner.ga

Individual

Related Doc: package ga

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abstract class Individual[A <: Individual[A, B], B] extends AnyRef

You should pass a class derived from this one as a type parameter to Genetic.

See the HelloGenetic example in the tests.

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Instance Constructors

  1. new Individual()

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    Please override with a random genome constructor satisfying your domain rules.

  2. new Individual(genome: Option[B])

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Abstract Value Members

  1. abstract def crossover(that: A): A

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    Domain-specific crossover function.

    Domain-specific crossover function. Some ideas:

    • copy a fragment
    • copy random parts with some probability
    • copy one configuration bit while preserving some constraints

  2. abstract def fitness: Double

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    Domain-specific fitness function.

    Domain-specific fitness function. 0 = perfect fit; the higher the worse.

  3. abstract def mutate(): A

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    Domain-specific mutate function.

    Domain-specific mutate function. Some ideas: - change a random element by a random value - switch two random elements

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    protected[java.lang]
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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  9. val genome: Option[B]

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  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. final def ne(arg0: AnyRef): Boolean

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. final def synchronized[T0](arg0: ⇒ T0): T0

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  17. def toString(): String

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  18. final def wait(): Unit

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  19. final def wait(arg0: Long, arg1: Int): Unit

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  20. final def wait(arg0: Long): Unit

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