algorithm

Type Members

trait Algorithm[T, M[_], I, G, S] extends AnyRef

Example: Let type C[A] = (SomeState,A)
Example: Let type C[A] = (SomeState,A)
// Initialisation val (initialState, initialGs) = unwrap(initialGenomes) val initialPop = initialGs.map(express)
// First step: val (s11, genomes1) = run((initialState,initialPop), breeding) val indivs1 = genomes1.map(express) val (s12, selected1) = run((s11,indivs1), elitism)
// Second step: val (s21, genomes2) = run((s12, selected1), breeding) val indivs2 = genomes2.map(express) val (s22, selected2) = run((s21, indivs2), elitism)

Value Members

object GenomeVectorDouble
def deterministicInitialPopulation[M[_], G, I](initialGenomes: M[Vector[G]], expression: Expression[G, I])(implicit arg0: Monad[M]): M[Vector[I]]
def deterministicStep[M[_], I, G](breeding: Breeding[M, I, G], expression: Expression[G, I], elitism: Elitism[M, I])(implicit arg0: Monad[M], arg1: RandomGen[M], arg2: Generational[M]): Kleisli[M, Vector[I], Vector[I]]
def noisyStep[M[_], I, G](breeding: Breeding[M, I, G], expression: Expression[(Random, G), I], elitism: Elitism[M, I])(implicit arg0: Monad[M], arg1: RandomGen[M], arg2: Generational[M], arg3: ParallelRandomGen[M]): Kleisli[M, Vector[I], Vector[I]]
object noisynsga2
object noisynsga2Operations
object noisyprofile extends Imports
object noisyprofileOperations
object noisypse extends Imports
object noisypseOperations
object nsga2
object nsga2Operations
def operatorProportions[M[_], I](operation: (I) ⇒ Maybe[Int])(implicit arg0: Monad[M]): Kleisli[M, Vector[I], Map[Int, Double]]
def probabilisticOperatorB[M[_], G](opsAndWeights: Vector[(Kleisli[M, G, G], Double)], exploration: Double)(implicit MM: Monad[M], MR: RandomGen[M]): Kleisli[M, G, (G, Int)]
object profile extends Imports
object profileOperations
object pse extends Imports
object pseOperations
def randomTakeLambda[M[_], G](lambda: Int)(implicit MR: RandomGen[M], MM: Monad[M]): Breeding[M, G, G]
def selectOperator[M[_], G](operators: Vector[Kleisli[M, G, G]], opStats: Map[Int, Double], exploration: Double)(implicit arg0: Monad[M], MR: RandomGen[M]): Kleisli[M, G, (G, Int)]
def stochasticInitialPopulation[M[_], G, I](initialGenomes: M[Vector[G]], expression: Expression[(Random, G), I])(implicit arg0: Monad[M], arg1: ParallelRandomGen[M]): M[Vector[I]]

package algorithm

Type Members

trait Algorithm[T, M[_], I, G, S] extends AnyRef

Value Members

object GenomeVectorDouble

def deterministicInitialPopulation[M[_], G, I](initialGenomes: M[Vector[G]], expression: Expression[G, I])(implicit arg0: Monad[M]): M[Vector[I]]

def deterministicStep[M[_], I, G](breeding: Breeding[M, I, G], expression: Expression[G, I], elitism: Elitism[M, I])(implicit arg0: Monad[M], arg1: RandomGen[M], arg2: Generational[M]): Kleisli[M, Vector[I], Vector[I]]

def noisyStep[M[_], I, G](breeding: Breeding[M, I, G], expression: Expression[(Random, G), I], elitism: Elitism[M, I])(implicit arg0: Monad[M], arg1: RandomGen[M], arg2: Generational[M], arg3: ParallelRandomGen[M]): Kleisli[M, Vector[I], Vector[I]]

object noisynsga2

object noisynsga2Operations

object noisyprofile extends Imports

object noisyprofileOperations

object noisypse extends Imports

object noisypseOperations

object nsga2

object nsga2Operations

def operatorProportions[M[_], I](operation: (I) ⇒ Maybe[Int])(implicit arg0: Monad[M]): Kleisli[M, Vector[I], Map[Int, Double]]

def probabilisticOperatorB[M[_], G](opsAndWeights: Vector[(Kleisli[M, G, G], Double)], exploration: Double)(implicit MM: Monad[M], MR: RandomGen[M]): Kleisli[M, G, (G, Int)]

object profile extends Imports

object profileOperations

object pse extends Imports

object pseOperations

def randomTakeLambda[M[_], G](lambda: Int)(implicit MR: RandomGen[M], MM: Monad[M]): Breeding[M, G, G]

def selectOperator[M[_], G](operators: Vector[Kleisli[M, G, G]], opStats: Map[Int, Double], exploration: Double)(implicit arg0: Monad[M], MR: RandomGen[M]): Kleisli[M, G, (G, Int)]

def stochasticInitialPopulation[M[_], G, I](initialGenomes: M[Vector[G]], expression: Expression[(Random, G), I])(implicit arg0: Monad[M], arg1: ParallelRandomGen[M]): M[Vector[I]]

Inherited from AnyRef

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