%0 Conference Paper %1 conf/gecco/FajardoS21 %A Fajardo, Mario Alejandro Hevia %A Sudholt, Dirk %B GECCO %D 2021 %E Chicano, Francisco %E Krawiec, Krzysztof %I ACM %K dblp %P 1151-1159 %T Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter. %U http://dblp.uni-trier.de/db/conf/gecco/gecco2021.html#FajardoS21 %@ 978-1-4503-8350-9

@inproceedings{conf/gecco/FajardoS21, added-at = {2022-01-03T00:00:00.000+0100}, author = {Fajardo, Mario Alejandro Hevia and Sudholt, Dirk}, biburl = {https://www.bibsonomy.org/bibtex/2c513bd878c799d61a59243dc11b4f777/dblp}, booktitle = {GECCO}, crossref = {conf/gecco/2021}, editor = {Chicano, Francisco and Krawiec, Krzysztof}, ee = {https://doi.org/10.1145/3449639.3459338}, interhash = {7415fbfc140c632ad814b7201f98c695}, intrahash = {c513bd878c799d61a59243dc11b4f777}, isbn = {978-1-4503-8350-9}, keywords = {dblp}, pages = {1151-1159}, publisher = {ACM}, timestamp = {2024-04-09T19:32:41.000+0200}, title = {Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter.}, url = {http://dblp.uni-trier.de/db/conf/gecco/gecco2021.html#FajardoS21}, year = 2021 }