{"user_id":"102979","status":"public","citation":{"short":"J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.","mla":"Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2018, pp. 1350–1356, doi:<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>.","chicago":"Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1350–1356. GECCO ’18. New York, NY, USA: Association for Computing Machinery, 2018. <a href=\"https://doi.org/10.1145/3205651.3208312\">https://doi.org/10.1145/3205651.3208312</a>.","apa":"Bossek, J. (2018). Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1350–1356. <a href=\"https://doi.org/10.1145/3205651.3208312\">https://doi.org/10.1145/3205651.3208312</a>","bibtex":"@inproceedings{Bossek_2018, place={New York, NY, USA}, series={GECCO ’18}, title={Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr}, DOI={<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Bossek, Jakob}, year={2018}, pages={1350–1356}, collection={GECCO ’18} }","ama":"Bossek J. Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO ’18. Association for Computing Machinery; 2018:1350–1356. doi:<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>","ieee":"J. Bossek, “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2018, pp. 1350–1356, doi: <a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>."},"date_updated":"2023-12-13T10:46:04Z","publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","type":"conference","_id":"48867","doi":"10.1145/3205651.3208312","year":"2018","author":[{"orcid":"0000-0002-4121-4668","full_name":"Bossek, Jakob","last_name":"Bossek","first_name":"Jakob","id":"102979"}],"language":[{"iso":"eng"}],"series_title":"GECCO ’18","publication_identifier":{"isbn":["978-1-4503-5764-7"]},"extern":"1","page":"1350–1356","publication_status":"published","department":[{"_id":"819"}],"date_created":"2023-11-14T15:58:56Z","publisher":"Association for Computing Machinery","abstract":[{"lang":"eng","text":"Assessing the performance of stochastic optimization algorithms in the field of multi-objective optimization is of utmost importance. Besides the visual comparison of the obtained approximation sets, more sophisticated methods have been proposed in the last decade, e. g., a variety of quantitative performance indicators or statistical tests. In this paper, we present tools implemented in the R package ecr, which assist in performing comprehensive and sound comparison and evaluation of multi-objective evolutionary algorithms following recommendations from the literature."}],"place":"New York, NY, USA","keyword":["evolutionary optimization","performance assessment","software-tools"],"title":"Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr"}