| SelectPropFitOnln {xegaSelectGene} | R Documentation |
Selection proportional to fitness O(n ln(n)).
Description
SelectPropFitOnln implements selection
proportional to fitness. Negative fitness
vectors are shifted to R^+.
The default of the function lf$Offset is 1.
Holland's schema theorem uses this selection function.
See John Holland (1975) for further information.
@details This is a fast implementation with equivalent results
to the functions SelectPropFit and SelectPropFitM.
Its runtime is O(n . ln(n)).
Usage
SelectPropFitOnln(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.
Credits
The code of this function has been written by Fabian Aisenbrey.
References
Holland, John (1975): Adaptation in Natural and Artificial Systems, The University of Michigan Press, Ann Arbor. (ISBN:0-472-08460-7)
See Also
Other Selection Functions:
SelectDuel(),
SelectLRSelective(),
SelectLinearRankTSR(),
SelectPropFitDiffM(),
SelectPropFitDiffOnln(),
SelectPropFitDiff(),
SelectPropFitM(),
SelectPropFit(),
SelectSTournament(),
SelectSUS(),
SelectTournament(),
SelectUniformP(),
SelectUniform()
Examples
fit<-sample(10, 15, replace=TRUE)
SelectPropFitOnln(fit, NewlFselectGenes())
SelectPropFitOnln(fit, NewlFselectGenes(), length(fit))