plot.Galgo {galgo} | R Documentation |
. See arguments for details.
## S3 method for class 'Galgo' plot(x, type=c("all", "populations", "fitness", "maxchromosomes"), ...)
type |
The type of plot. |
main,xlab,
ylab,col,pch |
|
... |
Other user named values to include in the object. |
Returns nothing.
Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K. http://www.bip.bham.ac.uk/bioinf
Goldberg, David E. 1989 Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Pub. Co. ISBN: 0201157675
For more information see Galgo
.
wo <- World(niches=newRandomCollection(Niche(chromosomes= newRandomCollection(Chromosome(genes= newCollection(Gene(shape1=1, shape2=100),5)), 10),2),2)) ga <- Galgo(populations=newRandomCollection(wo,1), goalFitness = 0.75, callBackFunc=plot, fitnessFunc=function(chr, parent) 5/sd(as.numeric(chr))) evolve(ga) best(ga) bestFitness(ga) plot(ga) reInit(ga) generateRandom(ga) evolve(ga) best(ga) bestFitness(ga) plot(ga)