# defining a benchmark function
# min at -0.352386, X in [-10,10]^2
AluffiPentiny <- function(X)
{
1/4*X[,1]^4 - 1/2*X[,1]^2 + 1/10*X[,1] + 1/2*X[,2]^2
}
# call and save the optimization process in 'demo01'
demo.RcppGO <- RcppGO(ObjectiveFunction=AluffiPentiny,
Args=2,
Lower = -10,
Upper = 10,
User=FALSE,
Scale=0.1)
# show the best solutions found
demo.RcppGO$GMemory
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