| SelectPropFitDiff {xegaSelectGene} | R Documentation |
Selection proportional to fitness differences.
Description
SelectPropFitDiff implements selection
proportional to fitness differences.
It selects a gene out of the population
with a probability proportional to the fitness
difference to the gene with minimal fitness.
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
SelectPropFitDiff(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.
Note
SelectPopFitDiff is a dynamic scaling function.
Complexity: O(n^2).
References
Geyer-Schulz, Andreas (1997): Fuzzy Rule-Based Expert Systems and Genetic Machine Learning, Physica, Heidelberg. (ISBN:978-3-7908-0830-X)
See Also
Other Selection Functions:
SelectDuel(),
SelectLRSelective(),
SelectLinearRankTSR(),
SelectPropFitDiffM(),
SelectPropFitDiffOnln(),
SelectPropFitM(),
SelectPropFitOnln(),
SelectPropFit(),
SelectSTournament(),
SelectSUS(),
SelectTournament(),
SelectUniformP(),
SelectUniform()
Examples
fit<-sample(10, 15, replace=TRUE)
SelectPropFitDiff(fit, NewlFselectGenes())
SelectPropFitDiff(fit, NewlFselectGenes(), length(fit))