saveObject.BigBang {galgo}R Documentation

Saves the BigBang object into a file in a suitable format

Description

Saves the BigBang object into a file in a suitable format.

Usage

## S3 method for class 'BigBang':
saveObject(.bbO, file=.bbO$saveFile, mode=.bbO$saveMode, ...)

Arguments

file The file name where the data will be saved. The default is taking the $saveFile variable form the BigBang object.
saveMode Character vector specifying the saving mode. The default is taking the $saveMode variable from the BigBang object. Any combinations of the two options compress and unObject. It can be character vector length 1 or larger. For example, saveMode=="compress+unObject" would call unObject and save the file using compress=TRUE. The vector c("object","compress") (or shorter c("compress")) would save the BigBang object and compressed. It is not recommended to save the crude object because the functions varibles are stuck to environments and R will try to save those environments together, the result can be a waste of disk space and saving time. We strongly recommend saveMode="unObject+compress".

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 BigBang.

Examples

   cr <- Chromosome(genes=newCollection(Gene(shape1=1, shape2=1000),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)))
 
   #evolve(ga) ## not needed here

   bb <- BigBang(galgo=ga, maxSolutions=10, maxBigBangs=10)
   blast(bb)
   saveObject(bb, file="bb.Rdata", mode="unObject+compress")
[Package galgo version 1.0-10 Index]