{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T21:23:05Z","timestamp":1768771385138,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,13]],"date-time":"2019-07-13T00:00:00Z","timestamp":1562976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,13]]},"DOI":"10.1145\/3321707.3321746","type":"proceedings-article","created":{"date-parts":[[2019,7,3]],"date-time":"2019-07-03T13:48:04Z","timestamp":1562161684000},"page":"374-382","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":46,"title":["COEGAN"],"prefix":"10.1145","author":[{"given":"Victor","family":"Costa","sequence":"first","affiliation":[{"name":"University of Coimbra, Coimbra, Portugal"}]},{"given":"Nuno","family":"Louren\u00e7o","sequence":"additional","affiliation":[{"name":"University of Coimbra, Coimbra, Portugal"}]},{"given":"Jo\u00e3o","family":"Correia","sequence":"additional","affiliation":[{"name":"University of Coimbra, Coimbra, Portugal"}]},{"given":"Penousal","family":"Machado","sequence":"additional","affiliation":[{"name":"University of Coimbra, Coimbra, Portugal"}]}],"member":"320","published-online":{"date-parts":[[2019,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Conference on Machine Learning. 214--223","author":"Arjovsky Martin","year":"2017","unstructured":"Martin Arjovsky , Soumith Chintala , and L\u00e9on Bottou . 2017 . Wasserstein generative adversarial networks . In International Conference on Machine Learning. 214--223 . Martin Arjovsky, Soumith Chintala, and L\u00e9on Bottou. 2017. Wasserstein generative adversarial networks. In International Conference on Machine Learning. 214--223."},{"key":"e_1_3_2_1_2_1","volume-title":"Evolving the Topology of Large Scale Deep Neural Networks. In European Conference on Genetic Programming. Springer, 19--34","author":"Assun\u00e7\u00e3o Filipe","year":"2018","unstructured":"Filipe Assun\u00e7\u00e3o , Nuno Louren\u00e7o , Penousal Machado , and Bernardete Ribeiro . 2018 . Evolving the Topology of Large Scale Deep Neural Networks. In European Conference on Genetic Programming. Springer, 19--34 . Filipe Assun\u00e7\u00e3o, Nuno Louren\u00e7o, Penousal Machado, and Bernardete Ribeiro. 2018. Evolving the Topology of Large Scale Deep Neural Networks. In European Conference on Genetic Programming. Springer, 19--34."},{"key":"e_1_3_2_1_3_1","volume-title":"Large scale gan training for high fidelity natural image synthesis. arXiv preprint arXiv:1809.11096","author":"Brock Andrew","year":"2018","unstructured":"Andrew Brock , Jeff Donahue , and Karen Simonyan . 2018. Large scale gan training for high fidelity natural image synthesis. arXiv preprint arXiv:1809.11096 ( 2018 ). Andrew Brock, Jeff Donahue, and Karen Simonyan. 2018. Large scale gan training for high fidelity natural image synthesis. arXiv preprint arXiv:1809.11096 (2018)."},{"key":"e_1_3_2_1_4_1","volume-title":"Coevolution of Generative Adversarial Networks. In International Conference on the Applications of Evolutionary Computation. Springer.","author":"Costa Victor","year":"2019","unstructured":"Victor Costa , Nuno Louren\u00e7o , and Penousal Machado . 2019 . Coevolution of Generative Adversarial Networks. In International Conference on the Applications of Evolutionary Computation. Springer. Victor Costa, Nuno Louren\u00e7o, and Penousal Machado. 2019. Coevolution of Generative Adversarial Networks. In International Conference on the Applications of Evolutionary Computation. Springer."},{"key":"e_1_3_2_1_5_1","volume-title":"NIPS. Curran Associates","author":"Goodfellow Ian","unstructured":"Ian Goodfellow , Jean Pouget-Abadie , Mehdi Mirza , Bing Xu , David Warde-Farley , Sherjil Ozair , Aaron Courville , and Yoshua Bengio . 2014. Generative Adversarial Nets . In NIPS. Curran Associates , Inc . Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative Adversarial Nets. In NIPS. Curran Associates, Inc."},{"key":"e_1_3_2_1_6_1","unstructured":"Ishaan Gulrajani Faruk Ahmed Martin Arjovsky Vincent Dumoulin and Aaron C Courville. 2017. Improved training of wasserstein gans. In Advances in Neural Information Processing Systems. 5769--5779.   Ishaan Gulrajani Faruk Ahmed Martin Arjovsky Vincent Dumoulin and Aaron C Courville. 2017. Improved training of wasserstein gans. In Advances in Neural Information Processing Systems. 5769--5779."},{"key":"e_1_3_2_1_7_1","unstructured":"Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler and Sepp Hochreiter. 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. In Advances in Neural Information Processing Systems. 6629--6640.   Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler and Sepp Hochreiter. 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. In Advances in Neural Information Processing Systems. 6629--6640."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(90)90076-2"},{"key":"e_1_3_2_1_9_1","volume-title":"International Conference on Learning Representations.","author":"Karras Tero","year":"2018","unstructured":"Tero Karras , Timo Aila , Samuli Laine , and Jaakko Lehtinen . 2018 . Progressive Growing of GANs for Improved Quality, Stability, and Variation . In International Conference on Learning Representations. Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. 2018. Progressive Growing of GANs for Improved Quality, Stability, and Variation. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_10_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma and Jimmy Ba . 2015 . Adam: A method for stochastic optimization . In International Conference on Learning Representations (ICLR). Diederik P Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_12_1","unstructured":"Yann LeCun. 1998. The MNIST database of handwritten digits. http:\/\/yann.lecun.com\/exdb\/mnist\/ (1998).  Yann LeCun. 1998. The MNIST database of handwritten digits. http:\/\/yann.lecun.com\/exdb\/mnist\/ (1998)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"e_1_3_2_1_14_1","volume-title":"Are GANs Created Equal? A Large-Scale Study. arXiv preprint arXiv:1711.10337","author":"Lucic Mario","year":"2017","unstructured":"Mario Lucic , Karol Kurach , Marcin Michalski , Sylvain Gelly , and Olivier Bousquet . 2017. Are GANs Created Equal? A Large-Scale Study. arXiv preprint arXiv:1711.10337 ( 2017 ). Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, and Olivier Bousquet. 2017. Are GANs Created Equal? A Large-Scale Study. arXiv preprint arXiv:1711.10337 (2017)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"e_1_3_2_1_16_1","volume-title":"Evolving Deep Neural Networks. arXiv preprint arXiv:1703.00548","author":"Miikkulainen Risto","year":"2017","unstructured":"Risto Miikkulainen , Jason Liang , Elliot Meyerson , Aditya Rawal , Dan Fink , Olivier Francon , Bala Raju , Arshak Navruzyan , Nigel Duffy , and Babak Hodjat . 2017. Evolving Deep Neural Networks. arXiv preprint arXiv:1703.00548 ( 2017 ). Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Arshak Navruzyan, Nigel Duffy, and Babak Hodjat. 2017. Evolving Deep Neural Networks. arXiv preprint arXiv:1703.00548 (2017)."},{"key":"e_1_3_2_1_17_1","volume-title":"Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434","author":"Radford Alec","year":"2015","unstructured":"Alec Radford , Luke Metz , and Soumith Chintala . 2015. Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434 ( 2015 ). Alec Radford, Luke Metz, and Soumith Chintala. 2015. Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434 (2015)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITW.2010.5593366"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_1_20_1","unstructured":"Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford and Xi Chen. 2016. Improved techniques for training gans. In Advances in Neural Information Processing Systems. 2234--2242.   Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford and Xi Chen. 2016. Improved techniques for training gans. In Advances in Neural Information Processing Systems. 2234--2242."},{"key":"e_1_3_2_1_21_1","volume-title":"Towards distributed coevolutionary gans. arXiv preprint arXiv:1807.08194","author":"Schmiedlechner Tom","year":"2018","unstructured":"Tom Schmiedlechner , Abdullah Al-Dujaili , Erik Hemberg , and Una-May O'Reilly . 2018. Towards distributed coevolutionary gans. arXiv preprint arXiv:1807.08194 ( 2018 ). Tom Schmiedlechner, Abdullah Al-Dujaili, Erik Hemberg, and Una-May O'Reilly. 2018. Towards distributed coevolutionary gans. arXiv preprint arXiv:1807.08194 (2018)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1162\/artl.1994.1.353"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365602320169811"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/1622467.1622471"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_1_26_1","volume-title":"Evolutionary Generative Adversarial Networks. arXiv preprint arXiv:1803.00657","author":"Wang Chaoyue","year":"2018","unstructured":"Chaoyue Wang , Chang Xu , Xin Yao , and Dacheng Tao . 2018. Evolutionary Generative Adversarial Networks. arXiv preprint arXiv:1803.00657 ( 2018 ). Chaoyue Wang, Chang Xu, Xin Yao, and Dacheng Tao. 2018. Evolutionary Generative Adversarial Networks. arXiv preprint arXiv:1803.00657 (2018)."},{"key":"e_1_3_2_1_27_1","volume-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747","author":"Xiao Han","year":"2017","unstructured":"Han Xiao , Kashif Rasul , and Roland Vollgraf . 2017. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 ( 2017 ). Han Xiao, Kashif Rasul, and Roland Vollgraf. 2017. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 (2017)."}],"event":{"name":"GECCO '19: Genetic and Evolutionary Computation Conference","location":"Prague Czech Republic","acronym":"GECCO '19","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3321707.3321746","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3321707.3321746","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:19Z","timestamp":1750204399000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3321707.3321746"}},"subtitle":["evaluating the coevolution effect in generative adversarial networks"],"short-title":[],"issued":{"date-parts":[[2019,7,13]]},"references-count":26,"alternative-id":["10.1145\/3321707.3321746","10.1145\/3321707"],"URL":"https:\/\/doi.org\/10.1145\/3321707.3321746","relation":{},"subject":[],"published":{"date-parts":[[2019,7,13]]},"assertion":[{"value":"2019-07-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}