Ecr 2.0: A Modular Framework for Evolutionary Computation in R
J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2017, pp. 1187–1193.
Download
No fulltext has been uploaded.
Conference Paper
| Published
| English
Author
Department
Abstract
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.
Keywords
Publishing Year
Proceedings Title
Proceedings of the Genetic and Evolutionary Computation Conference Companion
forms.conference.field.series_title_volume.label
GECCO ’17
Page
1187–1193
ISBN
LibreCat-ID
Cite this
Bossek J. Ecr 2.0: A Modular Framework for Evolutionary Computation in R. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO ’17. Association for Computing Machinery; 2017:1187–1193. doi:10.1145/3067695.3082470
Bossek, J. (2017). Ecr 2.0: A Modular Framework for Evolutionary Computation in R. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1187–1193. https://doi.org/10.1145/3067695.3082470
@inproceedings{Bossek_2017, place={New York, NY, USA}, series={GECCO ’17}, title={Ecr 2.0: A Modular Framework for Evolutionary Computation in R}, DOI={10.1145/3067695.3082470}, 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} }
Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation in R.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1187–1193. GECCO ’17. New York, NY, USA: Association for Computing Machinery, 2017. https://doi.org/10.1145/3067695.3082470.
J. Bossek, “Ecr 2.0: A Modular Framework for Evolutionary Computation in R,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017, pp. 1187–1193, doi: 10.1145/3067695.3082470.
Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation in R.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2017, pp. 1187–1193, doi:10.1145/3067695.3082470.
Google Scholar
ISBN Search