{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:40Z","timestamp":1750220080003,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,9]],"date-time":"2022-07-09T00:00:00Z","timestamp":1657324800000},"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":[[2022,7,9]]},"DOI":"10.1145\/3520304.3533954","type":"proceedings-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T15:29:44Z","timestamp":1658244584000},"page":"2318-2321","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Evolutionary training of deep neural networks on heterogeneous computing environments"],"prefix":"10.1145","author":[{"given":"Subodh","family":"Kalia","sequence":"first","affiliation":[{"name":"Department of EECS"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chilukuri K.","family":"Mohan","sequence":"additional","affiliation":[{"name":"Department of EECS"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramakrishna","family":"Nemani","sequence":"additional","affiliation":[{"name":"BAER Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112882"},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of Neuro-N\u0131mes 91","author":"L\u00e9on","year":"1991","unstructured":"L\u00e9on Bottou et al. 1991. Stochastic gradient learning in neural networks. Proceedings of Neuro-N\u0131mes 91, 8 (1991), 12."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001420580124"},{"key":"e_1_3_2_1_4_1","unstructured":"M. U. B. Dias D. D. N. De Silva and S. Fernando. 2018. On Optimizing Deep Convolutional Neural Networks by Evolutionary Computing. (aug 2018). arXiv:1808.01766 http:\/\/arxiv.org\/abs\/1808.01766"},{"key":"e_1_3_2_1_5_1","volume-title":"GACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm. (sep","author":"Esfahanian Parsa","year":"2019","unstructured":"Parsa Esfahanian and Mohammad Akhavan. 2019. GACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm. (sep 2019). arXiv:1909.13354 https:\/\/arxiv.org\/abs\/1909.13354"},{"key":"e_1_3_2_1_6_1","volume-title":"AGUFM 2017","author":"Ganguly Sangram","year":"2017","unstructured":"Sangram Ganguly, Subodh Kalia, Shuang Li, Andrew Michaelis, Ramakrishna R Nemani, and Sassan Saatchi. 2017. Very High Resolution Tree Cover Mapping for Continental United States using Deep Convolutional Neural Networks. AGUFM 2017 (2017), H33M-06."},{"key":"e_1_3_2_1_7_1","volume-title":"Historical daily prices of Nasdaq-traded stocks and ETFs. https:\/\/www.kaggle.com\/dgawlik\/nyse. [Online","author":"Gawlik Dominik","year":"2021","unstructured":"Dominik Gawlik. 2020. Historical daily prices of Nasdaq-traded stocks and ETFs. https:\/\/www.kaggle.com\/dgawlik\/nyse. [Online; accessed 04-January-2021]."},{"key":"e_1_3_2_1_8_1","volume-title":"https:\/\/nas.nasa.gov\/hecc\/resources\/pleiades.html. [Online","author":"Pleiades Supercomputer NASA HECC.","year":"2021","unstructured":"NASA HECC. 2020. Pleiades Supercomputer. https:\/\/nas.nasa.gov\/hecc\/resources\/pleiades.html. [Online; accessed 15-January-2021]."},{"key":"e_1_3_2_1_9_1","volume-title":"Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991","author":"Huang Zhiheng","year":"2015","unstructured":"Zhiheng Huang, Wei Xu, and Kai Yu. 2015. Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991 (2015)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.07.050"},{"key":"e_1_3_2_1_12_1","volume-title":"A Hybrid Method for Training Convolutional Neural Networks. (apr","author":"Lopes Vasco","year":"2020","unstructured":"Vasco Lopes and Paulo Fazendeiro. 2020. A Hybrid Method for Training Convolutional Neural Networks. (apr 2020). arXiv:2005.04153 http:\/\/arxiv.org\/abs\/2005.04153"},{"key":"e_1_3_2_1_13_1","first-page":"566","article-title":"Adagrad - an optimizer for stochastic gradient descent","volume":"6","author":"Lydia Agnes","year":"2019","unstructured":"Agnes Lydia and Sagayaraj Francis. 2019. Adagrad - an optimizer for stochastic gradient descent. Int. J. Inf. Comput. Sci 6, 5 (2019), 566--568.","journal-title":"Int. J. Inf. Comput. Sci"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Olaf Ronneberger Philipp Fischer and Thomas Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. arXiv:1505.04597 [cs.CV]","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_15_1","volume-title":"2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 3642--3649","author":"Schmidhuber Jurgen","year":"2012","unstructured":"Jurgen Schmidhuber, U Meier, and D Ciresan. 2012. Multi-column deep neural networks for image classification. In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 3642--3649."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00222"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2005.251"},{"key":"e_1_3_2_1_18_1","volume-title":"CoNES: Convex Natural Evolutionary Strategies. (jul","author":"Veer Sushant","year":"2020","unstructured":"Sushant Veer and Anirudha Majumdar. 2020. CoNES: Convex Natural Evolutionary Strategies. (jul 2020). arXiv:2007.08601 http:\/\/arxiv.org\/abs\/2007.08601"},{"key":"e_1_3_2_1_19_1","volume-title":"A genetic algorithm tutorial. Statistics and computing 4, 2","author":"Whitley Darrell","year":"1994","unstructured":"Darrell Whitley. 1994. A genetic algorithm tutorial. Statistics and computing 4, 2 (1994), 65--85."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2018.8624183"}],"event":{"name":"GECCO '22: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Boston Massachusetts","acronym":"GECCO '22"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3520304.3533954","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3520304.3533954","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:23Z","timestamp":1750183763000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3520304.3533954"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,9]]},"references-count":20,"alternative-id":["10.1145\/3520304.3533954","10.1145\/3520304"],"URL":"https:\/\/doi.org\/10.1145\/3520304.3533954","relation":{},"subject":[],"published":{"date-parts":[[2022,7,9]]},"assertion":[{"value":"2022-07-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}