ThresholdScaleFitness {xegaSelectGene}

Dispersion Ratio Based Fitness Scaling.

Description

Fitness is transformed by a power function fit^lF$ScalingExp. If lF$ScalingExp is

• less than 1: Selection pressure is decreased.

• 1: Selection pressure remains constant.

• larger than 1: Selection pressure is increased.

• 0: Fitness is constant. Random selection.

• smaller than 1: Fitness is 1/fit^lF$ScalingExp.

Usage

ThresholdScaleFitness(fit, lF)

Arguments

fit

Fitness vector.

lF

Local configuration.

Value

Scaled fitness vector.

See Also

Other Scaling: ContinuousScaleFitness(), DispersionRatio(), ScaleFitness(), ScalingFitness()

Other Adaptive Parameter: ContinuousScaleFitness()

Examples

lF<-list()
lF$Offset<-parm(0.0001)
lF$ScalingThreshold<-parm(0.05)
lF$RDM<-parm(1.0)
lF$ScalingExp<-parm(0.5)
lF$ScalingExp2<-parm(2)
fit<-sample(10, 20, replace=TRUE)
fit
ThresholdScaleFitness(fit, lF)
lF$RDM<-parm(1.2)
ThresholdScaleFitness(fit, lF)
lF$RDM<-parm(0.8)
ThresholdScaleFitness(fit, lF)