object crossover
Crossover operators, intended to simulate recombination between genotypes in a population.
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- def intermediate[G <: io.jenetics.NumericGene[_, G], Fitness <: Comparable[Fitness]](pRecombine: Double = defaultOperatorProbability, cLoc: Int = 0): IntermediateCrossover[G, Fitness]
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- def line[G <: io.jenetics.NumericGene[_, G], Fitness <: Comparable[Fitness]](pRecombine: Double = defaultOperatorProbability, cLoc: Int = 0): LineCrossover[G, Fitness]
- def meanOperator[G <: io.jenetics.NumericGene[_, G] with Mean[G], Fitness <: Comparable[Fitness]](pRecombine: Double = 0.05): MeanAlterer[G, Fitness]
- def multipoint[G <: Gene[_, G], Fitness <: Comparable[Fitness]](pRecombine: Double = 0.05, numCrossoverPoints: Int = 2): MultiPointCrossover[G, Fitness]
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- def partiallyMatched[G <: io.jenetics.NumericGene[_, G], Fitness <: Comparable[Fitness]](pRecombine: Double): PartiallyMatchedCrossover[G, Fitness]
- def simulatedBinary[G <: io.jenetics.NumericGene[_, G], Fitness <: Comparable[Fitness]](pRecombine: Double, contiguity: Double = 2.5): SimulatedBinaryCrossover[G, Fitness]
- def singlePoint[G <: Gene[_, G], Fitness <: Comparable[Fitness]](pRecombine: Double = 0.05): SinglePointCrossover[G, Fitness]
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- def uniform[G <: Gene[_, G], Fitness <: Comparable[Fitness]](pRecombine: Double = defaultOperatorProbability, pSwap: Double = defaultOperatorProbability): UniformCrossover[G, Fitness]
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