SelectPropFitDiffM: Selection proportional to fitness differences.

In xegaSelectGene: Selection of Genes and Gene Representation Independent Functions

Selection proportional to fitness differences.

Description

SelectPropFitDiffM() implements selection proportional to fitness differences. It selects a gene from the population with a probability proportional to the fitness difference to the gene with minimal fitness. The default of the function lF$Offset() is 1. The fitness of survival of the gene with minimal fitness is set by lF$Eps() to 0.01 per default. See equation (7.45) Andreas Geyer-Schulz (1997), p. 205.

Usage

SelectPropFitDiffM(fit, lF, size = 1)

Arguments

fit	Fitness vector.
lF	Local configuration.
size	Number of selected genes. Default: 1.

Value

The index vector of the selected genes.

Warning

outer uses O(n^2) memory cells.

Note

SelectPopFitDiff() is a dynamic scaling function.

References

Andreas Geyer-Schulz (1997): Fuzzy Rule-Based Expert Systems and Genetic Machine Learning, Physica, Heidelberg. <978-3-7908-0830-X>

See Also

Other Selection Functions: SelectDuel(), SelectLRSelective(), SelectLinearRankTSR(), SelectPropFit(), SelectPropFitDiff(), SelectPropFitDiffOnln(), SelectPropFitM(), SelectPropFitOnln(), SelectSTournament(), SelectSUS(), SelectTournament(), SelectUniform(), SelectUniformP()

Examples

fit<-sample(10, 15, replace=TRUE)
SelectPropFitDiffM(fit, NewlFselectGenes()) 
SelectPropFitDiffM(fit, NewlFselectGenes(), length(fit)) 

xegaSelectGene documentation built on April 16, 2025, 5:12 p.m.