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# Exponantial ranking selection
selers = function(fitvals, ns, selbc, ...){
n = length(fitvals)
if(missing(selbc)) selbc=0.5
if(missing(ns)) ns=n
fitranks = rank(fitvals, ties.method="min")
p = selbc^(n-fitranks) / sum(selbc^(n-fitranks))
matpool = sample(1:n, size=ns, prob=p, replace=TRUE)
return(matpool)
}
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