{"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>","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>.","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>.","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.","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>."},"keyword":["evolutionary optimization","software-tools"],"type":"conference","publisher":"Association for Computing Machinery","user_id":"102979","year":"2017","status":"public","_id":"48863","publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","page":"1187–1193","language":[{"iso":"eng"}],"department":[{"_id":"819"}],"publication_identifier":{"isbn":["978-1-4503-4939-0"]},"author":[{"orcid":"0000-0002-4121-4668","id":"102979","first_name":"Jakob","full_name":"Bossek, Jakob","last_name":"Bossek"}],"publication_status":"published","date_created":"2023-11-14T15:58:55Z","doi":"10.1145/3067695.3082470","extern":"1","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."}],"title":"Ecr 2.0: A Modular Framework for Evolutionary Computation in R","date_updated":"2023-12-13T10:45:05Z","series_title":"GECCO ’17","place":"New York, NY, USA"}