---
_id: '48863'
abstract:
- lang: eng
  text: The novel R package ecr (version 2), short for Evolutionary Computation in
    R, provides a comprehensive collection of building blocks for constructing powerful
    evolutionary algorithms for single- and multi-objective continuous and combinatorial
    optimization problems. It allows to solve standard optimization tasks with few
    lines of code using a black-box approach. Moreover, rapid prototyping of non-standard
    ideas is possible via an explicit, white-box approach. This paper describes the
    design principles of the package and gives some introductory examples on how to
    use the package in practise.
author:
- first_name: Jakob
  full_name: Bossek, Jakob
  id: '102979'
  last_name: Bossek
  orcid: 0000-0002-4121-4668
citation:
  ama: 'Bossek J. Ecr 2.0: A Modular Framework for Evolutionary Computation in R.
    In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>.
    GECCO ’17. Association for Computing Machinery; 2017:1187–1193. doi:<a href="https://doi.org/10.1145/3067695.3082470">10.1145/3067695.3082470</a>'
  apa: 'Bossek, J. (2017). Ecr 2.0: A Modular Framework for Evolutionary Computation
    in R. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>,
    1187–1193. <a href="https://doi.org/10.1145/3067695.3082470">https://doi.org/10.1145/3067695.3082470</a>'
  bibtex: '@inproceedings{Bossek_2017, place={New York, NY, USA}, series={GECCO ’17},
    title={Ecr 2.0: A Modular Framework for Evolutionary Computation in R}, DOI={<a
    href="https://doi.org/10.1145/3067695.3082470">10.1145/3067695.3082470</a>}, booktitle={Proceedings
    of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association
    for Computing Machinery}, author={Bossek, Jakob}, year={2017}, pages={1187–1193},
    collection={GECCO ’17} }'
  chicago: 'Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation
    in R.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference
    Companion</i>, 1187–1193. GECCO ’17. New York, NY, USA: Association for Computing
    Machinery, 2017. <a href="https://doi.org/10.1145/3067695.3082470">https://doi.org/10.1145/3067695.3082470</a>.'
  ieee: 'J. Bossek, “Ecr 2.0: A Modular Framework for Evolutionary Computation in
    R,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>,
    2017, pp. 1187–1193, doi: <a href="https://doi.org/10.1145/3067695.3082470">10.1145/3067695.3082470</a>.'
  mla: 'Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation
    in R.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>,
    Association for Computing Machinery, 2017, pp. 1187–1193, doi:<a href="https://doi.org/10.1145/3067695.3082470">10.1145/3067695.3082470</a>.'
  short: 'J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference
    Companion, Association for Computing Machinery, New York, NY, USA, 2017, pp. 1187–1193.'
date_created: 2023-11-14T15:58:55Z
date_updated: 2023-12-13T10:45:05Z
department:
- _id: '819'
doi: 10.1145/3067695.3082470
extern: '1'
keyword:
- evolutionary optimization
- software-tools
language:
- iso: eng
page: 1187–1193
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
  isbn:
  - 978-1-4503-4939-0
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’17
status: public
title: 'Ecr 2.0: A Modular Framework for Evolutionary Computation in R'
type: conference
user_id: '102979'
year: '2017'
...