suropt: Surrogate-Based Optimization

Multi-Objective optimization based on surrogate models. Important functions: build_surmodel, train_hego, train_mego, train_sme.

Version: 0.1.1
Depends: R (≥ 3.4.0)
Imports: methods, lhs, ggplot2, dplyr, tidyr, purrr, tibble, DiceKriging, DiceOptim, GPareto, emoa, mco, rgenoud, pso, GenSA
Published: 2019-01-11
Author: Adriano Passos [aut, cre], Marco Luersen [ctb]
Maintainer: Adriano Passos <adriano.utfpr at>
License: GPL-3
NeedsCompilation: no
CRAN checks: suropt results


Reference manual: suropt.pdf
Package source: suropt_0.1.1.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: suropt_0.1.1.tgz, r-oldrel: suropt_0.1.1.tgz
Old sources: suropt archive


Please use the canonical form to link to this page.