suropt: Surrogate-Based Optimization

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

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: methods, lhs, ggplot2, dplyr, tidyr, purrr, tibble, DiceKriging, DiceOptim, GPareto, emoa, mco, rgenoud, pso, GenSA
Published: 2018-11-26
Author: Adriano Passos [aut, cre], Marco Luersen [ctb]
Maintainer: Adriano Passos <adriano.utfpr at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: suropt results

Downloads:

Reference manual: suropt.pdf
Package source: suropt_0.1.0.tar.gz
Windows binaries: r-devel: suropt_0.1.0.zip, r-release: suropt_0.1.0.zip, r-oldrel: suropt_0.1.0.zip
OS X binaries: r-release: suropt_0.1.0.tgz, r-oldrel: suropt_0.1.0.tgz

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