%0 Conference Paper %1 conf/gecco/ChennupatiAR14a %A Chennupati, Gopinath %A Azad, R. Muhammad Atif %A Ryan, Conor %B GECCO (Companion) %D 2014 %E Arnold, Dirk V. %E Alba, Enrique %I ACM %K dblp %P 1353-1360 %T Predict the performance of GE with an ACO based machine learning algorithm. %U http://dblp.uni-trier.de/db/conf/gecco/gecco2014c.html#ChennupatiAR14a %@ 978-1-4503-2881-4

@inproceedings{conf/gecco/ChennupatiAR14a, added-at = {2018-11-06T00:00:00.000+0100}, author = {Chennupati, Gopinath and Azad, R. Muhammad Atif and Ryan, Conor}, biburl = {https://www.bibsonomy.org/bibtex/274b3f83d039245a8f135d07a6070f2a2/dblp}, booktitle = {GECCO (Companion)}, crossref = {conf/gecco/2014c}, editor = {Arnold, Dirk V. and Alba, Enrique}, ee = {https://doi.org/10.1145/2598394.2609860}, interhash = {9fc96e7d2cad2dfdb4d72ea694dcdcad}, intrahash = {74b3f83d039245a8f135d07a6070f2a2}, isbn = {978-1-4503-2881-4}, keywords = {dblp}, pages = {1353-1360}, publisher = {ACM}, timestamp = {2024-04-09T19:32:59.000+0200}, title = {Predict the performance of GE with an ACO based machine learning algorithm.}, url = {http://dblp.uni-trier.de/db/conf/gecco/gecco2014c.html#ChennupatiAR14a}, year = 2014 }