Description Usage Arguments Value Author(s) References See Also Examples
Saves the BigBang object into a file in a suitable format.
1 2 | ## S3 method for class 'BigBang'
saveObject(.bbO, file=.bbO$saveFile, mode=.bbO$saveMode, ...)
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file |
The file name where the data will be saved. The default is taking the |
saveMode |
Character vector specifying the saving mode. The default is taking the |
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 BigBang
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ## 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")
## End(Not run)
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