ExpDE is a modular implementation of the Differential Evolution metaheuristic, which aims at providing a platform for the experimental investigation of the effect of different recombination / mutation / selection operators.

Install the package directly from CRAN using:

install.packages("ExpDE")

To get the latest version from Github, use:

# install.packages("devtools")
devtools::install_github("fcampelo/ExpDE")

Full usage instructions and examples can be found in the documentation of ExpDE::ExpDE(). Type ?ExpDE to check it.

• Best (mutation_best)
• Current-to-pbest (mutation_current_to_pbest - includes special case current-to-best)
• Mean (mutation_mean)
• Rand (mutation_rand)
• Weighted global intermediate (mutation_wgi)

It is also possible to run the algorithm without using any differential mutation operator (mutation_none). Run mutation_operators() for a list of available variants.

• Arithmetic (recombination_arith)
• Binomial (recombination_bin)
• BLX-α-β (recombination_blxAlphaBeta - includes special cases blxAlpha and Flat)
• Eigenvector-based (recombination_eigen)
• Exponential (recombination_exp)
• Geometric (recombination_geo)
• Linear BGA (recombination_lbga)
• Linear (recombination_linear)
• M-max (recombination_mmax)
• N-point (recombination_npoint)
• One-point (recombination_onepoint)
• pbest (recombination_pbest)
• SBX (recombination_sbx)
• Wright (recombination_wright)

It is also possible to run the algorithm without using any recombination operator (recombination_none). Run recombination_operators() for a list of available variants.

• Standard DE (selection_standard)

• Maximum number of iterations (stop_maxiter)
• Maximum number of function evaluations (stop_maxeval)

popsize  <- 200
mutpars  <- list(name = "mutation_best", f = 0.6, nvecs = 1)
recpars  <- list(name = "recombination_sbx", eta = 10)
selpars  <- list(name = "selection_standard")
stopcrit <- list(names = "stop_maxeval", maxevals = 100000)
probpars <- list(name  = "sphere", xmin = rep(2, 10), xmax = rep(20, 10))
seed     <- 1234
showpars <- list(show.iters = "numbers", showevery = 10)
out      <- ExpDE(popsize, mutpars, recpars, selpars, 
                  stopcrit, probpars, seed, showpars)

If you find any bugs or has any suggestions for improvement, please feel free to contact me.

Cheers,
Felipe