ContinuousScaleFitness: Dispersion Ratio Based Continuous Fitness Scaling.
In xegaSelectGene: Selection of Genes and Gene Representation Independent Functions
ContinuousScaleFitness R Documentation
Dispersion Ratio Based Continuous Fitness Scaling.
Description
The scaling exponent is the product of
lF$RDMWeight() and lF$RDM().
Usage
ContinuousScaleFitness(fit, lF)
Arguments
fit
A fitness vector.
lF
Local configuration.
Value
Scaled fitness vector.
See Also
Other Scaling:
DispersionRatio(),
ScaleFitness(),
ScalingFitness(),
ThresholdScaleFitness()
Other Adaptive Parameter:
ThresholdScaleFitness()
Examples
lF<-list()
lF$Offset<-parm(0.0001)
lF$RDMWeight<-parm(2)
lF$RDM<-parm(1.2)
fit<-sample(10, 20, replace=TRUE)
fit
ContinuousScaleFitness(fit, lF)
xegaSelectGene documentation built on April 16, 2025, 5:12 p.m.
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| ContinuousScaleFitness | R Documentation |
Dispersion Ratio Based Continuous Fitness Scaling.
Description
The scaling exponent is the product of
lF$RDMWeight() and lF$RDM().
Usage
ContinuousScaleFitness(fit, lF)
Arguments
fit |
A fitness vector. |
lF |
Local configuration. |
Value
Scaled fitness vector.
See Also
Other Scaling:
DispersionRatio(),
ScaleFitness(),
ScalingFitness(),
ThresholdScaleFitness()
Other Adaptive Parameter:
ThresholdScaleFitness()
Examples
lF<-list()
lF$Offset<-parm(0.0001)
lF$RDMWeight<-parm(2)
lF$RDM<-parm(1.2)
fit<-sample(10, 20, replace=TRUE)
fit
ContinuousScaleFitness(fit, lF)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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