saveObject.BigBang: 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 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.

References

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

Examples

Run this code

# NOT RUN {
   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)))
 
   #evolve(ga) ## not needed here

   bb <- BigBang(galgo=ga, maxSolutions=10, maxBigBangs=10, saveGeneBreaks=1:100)
   blast(bb, 1)
   saveObject(bb, file="bb.Rdata", mode="unObject+compress")
   
# }
# NOT RUN {
 
# }