# 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)
best(ga)
max(ga) # the Maximum chromosome may be different to the best
bestFitness(ga)
maxFitness(ga)
# }
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