Tournament: Deterministic tournament of size 'k'.
In xegaSelectGene: Selection of Genes and Gene Representation Independent Functions
Tournament R Documentation
Deterministic tournament of size k.
Description
Tournament() is implemented in two steps:
-
A subset of size k of the population is selected with uniform probability.
-
A gene is selected with probability proportional to fitness.
Usage
Tournament(fit, lF)
Arguments
fit
Fitness vector.
lF
Local configuration.
Details
In each generation, the worst k-1 genes
in a population do not survive.
Value
Index of the best candidate.
Examples
fit<-sample(10, 15, replace=TRUE)
Tournament(fit, NewlFselectGenes())
xegaSelectGene documentation built on April 16, 2025, 5:12 p.m.
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| Tournament | R Documentation |
Deterministic tournament of size k.
Description
Tournament() is implemented in two steps:
-
A subset of size k of the population is selected with uniform probability.
-
A gene is selected with probability proportional to fitness.
Usage
Tournament(fit, lF)
Arguments
fit |
Fitness vector. |
lF |
Local configuration. |
Details
In each generation, the worst k-1 genes
in a population do not survive.
Value
Index of the best candidate.
Examples
fit<-sample(10, 15, replace=TRUE)
Tournament(fit, NewlFselectGenes())
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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