{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T16:52:09Z","timestamp":1782924729015,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T00:00:00Z","timestamp":1594166400000},"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":[[2020,7,8]]},"DOI":"10.1145\/3377929.3398138","type":"proceedings-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T21:02:12Z","timestamp":1594242132000},"page":"1824-1831","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":21,"title":["Multi-objective evolutionary GAN"],"prefix":"10.1145","author":[{"given":"Marco","family":"Baioletti","sequence":"first","affiliation":[{"name":"University of Perugia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos Artemio Coello","family":"Coello","sequence":"additional","affiliation":[{"name":"CINVESTAV-IPN"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriele","family":"Di Bari","sequence":"additional","affiliation":[{"name":"University of Perugia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valentina","family":"Poggioni","sequence":"additional","affiliation":[{"name":"University of Perugia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,7,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"A fast and elitist multiobjective genetic algorithm: NSGA-II. <u&gt","author":"Deb Kalyanmoy","year":"2002","unstructured":"Kalyanmoy Deb , Amrit Pratap , Sameer Agarwal , and TAMT Meyarivan . 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. <u&gt ; IEEE transactions on evolutionary computation<\/u> 6, 2 ( 2002 ), 182--197. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and TAMT Meyarivan. 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. <u>IEEE transactions on evolutionary computation<\/u> 6, 2 (2002), 182--197."},{"key":"#cr-split#-e_1_3_2_1_2_1.1","doi-asserted-by":"crossref","unstructured":"J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In <u>CVPR09.<\/u&gt","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"#cr-split#-e_1_3_2_1_2_1.2","doi-asserted-by":"crossref","unstructured":"J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In <u>CVPR09.<\/u>","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_3_1","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 <u>Advances in neural information processing systems.<\/u> 2672--2680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In <u>Advances in neural information processing systems.<\/u> 2672--2680."},{"key":"e_1_3_2_1_4_1","volume-title":"A kernel two-sample test. <u>Journal of Machine Learning Research<\/u&gt","author":"Gretton Arthur","year":"2012","unstructured":"Arthur Gretton , Karsten M Borgwardt , Malte J Rasch , Bernhard Sch\u00f6lkopf , and Alexander Smola . 2012. A kernel two-sample test. <u>Journal of Machine Learning Research<\/u&gt ; 13, Mar ( 2012 ), 723--773. Arthur Gretton, Karsten M Borgwardt, Malte J Rasch, Bernhard Sch\u00f6lkopf, and Alexander Smola. 2012. A kernel two-sample test. <u>Journal of Machine Learning Research<\/u> 13, Mar (2012), 723--773."},{"key":"e_1_3_2_1_5_1","volume-title":"Improved Training of Wasserstein GANs. In <u>Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS'17).<\/u&gt","author":"Gulrajani Ishaan","unstructured":"Ishaan Gulrajani , Faruk Ahmed , Martin Arjovsky , Vincent Dumoulin , and Aaron Courville . 2017. Improved Training of Wasserstein GANs. In <u>Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS'17).<\/u&gt ; Curran Associates Inc., Red Hook, NY, USA , 5769--5779. Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron Courville. 2017. Improved Training of Wasserstein GANs. In <u>Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS'17).<\/u> Curran Associates Inc., Red Hook, NY, USA, 5769--5779."},{"key":"e_1_3_2_1_6_1","unstructured":"Alex Krizhevsky. 2009. <u>Learning multiple layers of features from tiny images.<\/u> Technical Report.  Alex Krizhevsky. 2009. <u>Learning multiple layers of features from tiny images.<\/u> Technical Report."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Ziwei Liu Ping Luo Xiaogang Wang and Xiaoou Tang. 2015. Deep Learning Face Attributes in the Wild. In <u>Proceedings of International Conference on Computer Vision (ICCV).<\/u>  Ziwei Liu Ping Luo Xiaogang Wang and Xiaoou Tang. 2015. Deep Learning Face Attributes in the Wild. In <u>Proceedings of International Conference on Computer Vision (ICCV).<\/u>","DOI":"10.1109\/ICCV.2015.425"},{"key":"e_1_3_2_1_8_1","volume-title":"Zhen Wang, and Stephen Paul Smolley.","author":"Mao Xudong","year":"2017","unstructured":"Xudong Mao , Qing Li , Haoran Xie , Raymond YK Lau , Zhen Wang, and Stephen Paul Smolley. 2017 . Least squares generative adversarial networks. In <u>Proceedings of the IEEE International Conference on Computer Vision .<\/u> 2794--2802. Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley. 2017. Least squares generative adversarial networks. In <u>Proceedings of the IEEE International Conference on Computer Vision.<\/u> 2794--2802."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Z. Pan W. Yu X. Yi A. Khan F. Yuan and Y. Zheng. 2019. Recent Progress on Generative Adversarial Networks (GANs): A Survey. <u>IEEE Access<\/u> 7 (2019) 36322--36333.  Z. Pan W. Yu X. Yi A. Khan F. Yuan and Y. Zheng. 2019. Recent Progress on Generative Adversarial Networks (GANs): A Survey. <u>IEEE Access<\/u> 7 (2019) 36322--36333.","DOI":"10.1109\/ACCESS.2019.2905015"},{"key":"e_1_3_2_1_10_1","volume-title":"Stochastic Backpropagation and Approximate Inference in Deep Generative Models. In <u>Proceedings of the 31st International Conference on International Conference on Machine Learning -","author":"Rezende Danilo Jimenez","unstructured":"Danilo Jimenez Rezende , Shakir Mohamed , and Daan Wierstra . 2014. Stochastic Backpropagation and Approximate Inference in Deep Generative Models. In <u>Proceedings of the 31st International Conference on International Conference on Machine Learning - Volume 32 (ICML'14).<\/u> JMLR.org, II- 1278--II-1286. Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra. 2014. Stochastic Backpropagation and Approximate Inference in Deep Generative Models. In <u>Proceedings of the 31st International Conference on International Conference on Machine Learning - Volume 32 (ICML'14).<\/u> JMLR.org, II-1278--II-1286."},{"key":"e_1_3_2_1_11_1","volume-title":"A Hilbert space embedding for distributions. In <u>International Conference on Algorithmic Learning Theory.<\/u&gt","author":"Smola Alex","unstructured":"Alex Smola , Arthur Gretton , Le Song , and Bernhard Sch\u00f6lkopf . 2007. A Hilbert space embedding for distributions. In <u>International Conference on Algorithmic Learning Theory.<\/u&gt ; Springer , 13--31. Alex Smola, Arthur Gretton, Le Song, and Bernhard Sch\u00f6lkopf. 2007. A Hilbert space embedding for distributions. In <u>International Conference on Algorithmic Learning Theory.<\/u> Springer, 13--31."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Jamal Toutouh Erik Hemberg and Una-May O'Reilly. 2019. Spatial evolutionary generative adversarial networks. In <u>Proceedings of the Genetic and Evolutionary Computation Conference.<\/u> 472--480.  Jamal Toutouh Erik Hemberg and Una-May O'Reilly. 2019. Spatial evolutionary generative adversarial networks. In <u>Proceedings of the Genetic and Evolutionary Computation Conference.<\/u> 472--480.","DOI":"10.1145\/3321707.3321860"},{"key":"e_1_3_2_1_13_1","unstructured":"A\u00e4ron van den Oord and Nal Kalchbrenner. 2016. Pixel RNN. In <u>ICML.<\/u>  A\u00e4ron van den Oord and Nal Kalchbrenner. 2016. Pixel RNN. In <u>ICML.<\/u>"},{"key":"e_1_3_2_1_14_1","unstructured":"A\u00e4ron van den Oord Nal Kalchbrenner Lasse Espeholt Koray Kavukcuoglu Oriol Vinyals and Alexander Graves. 2016. Conditional Image Generation with PixelCNN Decoders. In <u>Advances in Neural Information Processing Systems 29.<\/u> 4790--4798.  A\u00e4ron van den Oord Nal Kalchbrenner Lasse Espeholt Koray Kavukcuoglu Oriol Vinyals and Alexander Graves. 2016. Conditional Image Generation with PixelCNN Decoders. In <u>Advances in Neural Information Processing Systems 29.<\/u> 4790--4798."},{"key":"e_1_3_2_1_15_1","volume-title":"Evolutionary generative adversarial networks. <u&gt","author":"Wang Chaoyue","year":"2019","unstructured":"Chaoyue Wang , Chang Xu , Xin Yao , and Dacheng Tao . 2019. Evolutionary generative adversarial networks. <u&gt ;IEEE Transactions on Evolutionary Computation <\/u> 23, 6 ( 2019 ), 921--934. Chaoyue Wang, Chang Xu, Xin Yao, and Dacheng Tao. 2019. Evolutionary generative adversarial networks. <u>IEEE Transactions on Evolutionary Computation<\/u> 23, 6 (2019), 921--934."},{"key":"e_1_3_2_1_16_1","volume-title":"Generative adversarial networks: A survey and taxonomy. <u>arXiv preprint arXiv:1906.01529<\/u&gt","author":"Wang Zhengwei","year":"2019","unstructured":"Zhengwei Wang , Qi She , and Tomas E Ward . 2019. Generative adversarial networks: A survey and taxonomy. <u>arXiv preprint arXiv:1906.01529<\/u&gt ; ( 2019 ). Zhengwei Wang, Qi She, and Tomas E Ward. 2019. Generative adversarial networks: A survey and taxonomy. <u>arXiv preprint arXiv:1906.01529<\/u> (2019)."},{"key":"e_1_3_2_1_17_1","volume-title":"A survey of image synthesis and editing with generative adversarial networks. <u>Tsinghua Science and Technology<\/u&gt","author":"Wu Xian","year":"2017","unstructured":"Xian Wu , Kun Xu , and Peter Hall . 2017. A survey of image synthesis and editing with generative adversarial networks. <u>Tsinghua Science and Technology<\/u&gt ; 22, 6 ( 2017 ), 660--674. Xian Wu, Kun Xu, and Peter Hall. 2017. A survey of image synthesis and editing with generative adversarial networks. <u>Tsinghua Science and Technology<\/u> 22, 6 (2017), 660--674."},{"key":"e_1_3_2_1_18_1","unstructured":"Han Xiao Kashif Rasul and Roland Vollgraf. 2017. <u>Fashion-MNIST<\/u>: <u>a Novel Image Dataset for Benchmarking Machine Learning Algorithms.<\/u> arXiv:cs.LG\/cs.LG\/1708.07747  Han Xiao Kashif Rasul and Roland Vollgraf. 2017. <u>Fashion-MNIST<\/u>: <u>a Novel Image Dataset for Benchmarking Machine Learning Algorithms.<\/u> arXiv:cs.LG\/cs.LG\/1708.07747"},{"key":"e_1_3_2_1_19_1","volume-title":"LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop. <u>arXiv preprint arXiv:1506.03365<\/u&gt","author":"Yu Fisher","year":"2015","unstructured":"Fisher Yu , Yinda Zhang , Shuran Song , Ari Seff , and Jianxiong Xiao . 2015 . LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop. <u>arXiv preprint arXiv:1506.03365<\/u&gt ; (2015). Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, and Jianxiong Xiao. 2015. LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop. <u>arXiv preprint arXiv:1506.03365<\/u> (2015)."}],"event":{"name":"GECCO '20: Genetic and Evolutionary Computation Conference","location":"Canc\u00fan Mexico","acronym":"GECCO '20","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3377929.3398138","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3377929.3398138","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:06Z","timestamp":1750200066000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3377929.3398138"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,8]]},"references-count":20,"alternative-id":["10.1145\/3377929.3398138","10.1145\/3377929"],"URL":"https:\/\/doi.org\/10.1145\/3377929.3398138","relation":{},"subject":[],"published":{"date-parts":[[2020,7,8]]},"assertion":[{"value":"2020-07-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}