refreshStats.Galgo: Updates the internal values from the current populations

In galgo: Genetic Algorithms for Multivariate Statistical Models from Large-Scale Functional Genomics Data

Description

Updates the internal values from the current populations. It updates maxFitness, maxChromosomes, bestFitness, and bestChromosomes. Called internally in evolve method.

Usage

## S3 method for class 'Galgo'
refreshStats(.O, ...)

Value

Returns nothing.

Author(s)

Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K. http://www.bip.bham.ac.uk/bioinf

References

Goldberg, David E. 1989 Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Pub. Co. ISBN: 0201157675

See Also

For more information see Galgo. *summary().

Examples

   cr <- Chromosome(genes=newCollection(Gene(shape1=1, shape2=100),5))
   ni <- Niche(chromosomes = newRandomCollection(cr, 10))
   wo <- World(niches=newRandomCollection(ni,2))

   ga <- Galgo(populations=newRandomCollection(wo,1), goalFitness = 0.75,
               callBackFunc=plot,
               fitnessFunc=function(chr, parent) 5/sd(as.numeric(chr)))
   ga
   summary(ga)
   evaluate(ga) # manual evaluation
   ga$generation <- ga$generation + 1
   ga
   refreshStats(ga)
   ga           # updated values
   summary(ga)  # but chromosomes have not been "evolved"
 
 

galgo documentation built on May 2, 2019, 4:20 a.m.