Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
knitr::opts_chunk$set(python.reticulate = FALSE)
## ----caRa, eval=F, echo=T-----------------------------------------------------
# library(caRamel)
## ----pbdMPI, eval=F, echo=T---------------------------------------------------
# library(pbdMPI)
## ----kursawe, eval=F, echo=T--------------------------------------------------
# kursawe <- function(i) {
# k1 <- -10 * exp(-0.2 * sqrt(x[i,1]^2 + x[i,2]^2)) - 10 * exp(-0.2 * sqrt(x[i,2]^2 + x[i,3]^2))
# k2 <- abs(x[i,1])^0.8 + 5 * sin(x[i,1]^3) + abs(x[i,2])^0.8 + 5 * sin(x[i,2]^3) + abs(x[i,3])^0.8 + 5 * sin(x[i,3]^3)
# return(c(k1, k2))
# }
## ----kursawe_variable, eval=F, echo=T-----------------------------------------
# nvar <- 3 # number of variables
# bounds <- matrix(data = 1, nrow = nvar, ncol = 2) # upper and lower bounds
# bounds[, 1] <- -5 * bounds[, 1]
# bounds[, 2] <- 5 * bounds[, 2]
## ----kursawe_objectives, eval=F, echo=T---------------------------------------
# nobj <- 2 # number of objectives
# minmax <- c(FALSE, FALSE) # minimization for both functions
## ----kursawe_param, eval=F, echo=T--------------------------------------------
# popsize <- 100 # size of the genetic population
# archsize <- 100 # size of the archive for the Pareto front
# maxrun <- 1000 # maximum number of calls
# prec <- matrix(1.e-3, nrow = 1, ncol = nobj) # accuracy for the convergence phase
## ----call_caRa, eval=F, echo=T------------------------------------------------
# results <-
# caRamel(nobj,
# nvar,
# minmax,
# bounds,
# kursawe,
# popsize,
# archsize,
# maxrun,
# prec,
# carallel = 1,
# numcores = 20,
# graph = FALSE,
# verbose = FALSE)
## ----mpi_caRa, eval=F, echo=T-------------------------------------------------
# init() # MPI functions from the pbdMPI package
# size <- comm.size()
# rank <- comm.rank()
#
# results <- gather(optres, rank.dest = 0) # gather all results on the main process
#
# if (rank == 0) saveRDS(results, "Results.Rds") # save all the results on disk
#
# finalize()
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