The R Journal: article published in 2017, volume 9:1

smoof: Single- and Multi-Objective Optimization Test Functions
Jakob Bossek , The R Journal (2017) 9:1, pages 103-113.

Abstract Benchmarking algorithms for optimization problems usually is carried out by running the algorithms under consideration on a diverse set of benchmark or test functions. A vast variety of test functions was proposed by researchers and is being used for investigations in the literature. The smoof package implements a large set of test functions and test function generators for both the single and multi-objective case in continuous optimization and provides functions to easily create own test functions. Moreover, the package offers some additional helper methods, which can be used in the context of optimization.

Received: 2016-02-28; online 2017-05-10
CRAN packages: emoa, mco, ecr, cec2005benchmark, cec2013, globalOptTests, soobench, smoof, ParamHelpers, ggplot2
CRAN Task Views cited directly: Optimization
CRAN Task Views implied by cited CRAN packages: Optimization, Graphics, Phylogenetics

This article is licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2017-004,
  author = {Jakob Bossek},
  title = {{smoof: Single- and Multi-Objective Optimization Test
          Functions}},
  year = {2017},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2017-004},
  url = {https://doi.org/10.32614/RJ-2017-004},
  pages = {103--113},
  volume = {9},
  number = {1}
}