R Under development (unstable) (2025-02-17 r87739 ucrt) -- "Unsuffered Consequences"
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> library(Rcpp)
> library(RcppDE)
Now loading:
  RcppDE: C++ Implementation of Differential Evolution Optimisation
  Author: Dirk Eddelbuettel
Based on:
  DEoptim (version 2.0-7): Differential Evolution algorithm in R
  Authors: David Ardia, Katharine Mullen, Brian Peterson and Joshua Ulrich
> 
> set.seed(1234)
> 
> Rosenbrock <- function(x) {
+   
+   # briefly, calls to functions generated with Rcpp Attributes
+   # could break optimizers due to incorrect sync of RNG state
+   RcppDE:::putFunPtrInXPtr("dummy")
+   
+   x1 <- x[1]
+   x2 <- x[2]
+   100 * (x2 - x1 * x1) ^ 2 + (1 - x1) ^ 2
+ }
> 
> lower <- c(-10, -10)
> upper <- -lower
> cont <- DEoptim.control(trace = 0)
> 
> fit <- DEoptim(Rosenbrock, lower, upper, control = cont)
> 
> if (packageVersion("Rcpp") >= "0.12.17.1")
+   stopifnot(all.equal(fit$optim$bestmem, c(par1 = 1, par2 = 1)))
> 
> proc.time()
   user  system elapsed 
   0.23    0.09    0.31