{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T04:59:45Z","timestamp":1744433985976},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030304836"},{"type":"electronic","value":"9783030304843"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-30484-3_32","type":"book-chapter","created":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T19:02:47Z","timestamp":1567969367000},"page":"387-392","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Compute-Efficient Neural Network Architecture Optimization by a Genetic Algorithm"],"prefix":"10.1007","author":[{"given":"Sebastian","family":"Litzinger","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Klos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wolfram","family":"Schiffmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,9]]},"reference":[{"key":"32_CR1","unstructured":"Abadi, M., et al.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). \n                      https:\/\/www.tensorflow.org\/tutorials\/estimators\/cnn"},{"key":"32_CR2","unstructured":"Assun\u00e7\u00e3o, F., et al.: DENSER: deep evolutionary network structured representation. CoRR abs\/1801.01563 (2018). \n                      http:\/\/arxiv.org\/abs\/1801.01563"},{"key":"32_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/978-3-319-77553-1_2","volume-title":"Genetic Programming","author":"F Assun\u00e7\u00e3o","year":"2018","unstructured":"Assun\u00e7\u00e3o, F., Louren\u00e7o, N., Machado, P., Ribeiro, B.: Evolving the topology of large scale deep neural networks. In: Castelli, M., Sekanina, L., Zhang, M., Cagnoni, S., Garc\u00eda-S\u00e1nchez, P. (eds.) EuroGP 2018. LNCS, vol. 10781, pp. 19\u201334. Springer, Cham (2018). \n                      https:\/\/doi.org\/10.1007\/978-3-319-77553-1_2"},{"key":"32_CR4","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.neucom.2017.12.049","volume":"283","author":"A Baldominos","year":"2018","unstructured":"Baldominos, A., Saez, Y., Isasi, P.: Evolutionary convolutional neural networks: an application to handwriting recognition. Neurocomputing 283, 38\u201352 (2018)","journal-title":"Neurocomputing"},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Ciresan, D.C., Meier, U., Schmidhuber, J.: Multi-column deep neural networks for image classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3642\u20133649 (2012)","DOI":"10.1109\/CVPR.2012.6248110"},{"issue":"12","key":"32_CR6","doi-asserted-by":"publisher","first-page":"3207","DOI":"10.1162\/NECO_a_00052","volume":"22","author":"DC Ciresan","year":"2010","unstructured":"Ciresan, D.C., et al.: Deep, big, simple neural nets for handwritten digit recognition. Neural Comput. 22(12), 3207\u20133220 (2010)","journal-title":"Neural Comput."},{"key":"32_CR7","unstructured":"Ciresan, D.C., et al.: Flexible, high performance convolutional neural networks for image classification. In: Walsh, T. (ed.) Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, pp. 1237\u20131242 (2011)"},{"key":"32_CR8","unstructured":"He, K., et al.: Deep residual learning for image recognition. CoRR abs\/1512.03385 (2015). \n                      http:\/\/arxiv.org\/abs\/1512.03385"},{"key":"32_CR9","unstructured":"LeCun, et al.: The MNIST database of handwritten digits. \n                      http:\/\/yann.lecun.com\/exdb\/mnist\/\n                      \n                    . Accessed 21 Sept 2018"},{"key":"32_CR10","unstructured":"Liu, H., et al.: Hierarchical representations for efficient architecture search. CoRR abs\/1711.00436 (2017). \n                      http:\/\/arxiv.org\/abs\/1711.00436"},{"key":"32_CR11","unstructured":"Ma, B., et al.: Autonomous deep learning: a genetic DCNN designer for image classification. CoRR abs\/1807.00284 (2018). \n                      http:\/\/arxiv.org\/abs\/1807.00284"},{"key":"32_CR12","unstructured":"Miller, G., et al.: Designing neural networks using genetic algorithms. In: Proceedings of the 3rd International Conference on Genetic Algorithms, pp. 379\u2013384. Morgan Kaufmann Publishers Inc., San Francisco (1989)"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Mitschke, N., et al.: Gradient based evolution to optimize the structure of convolutional neural networks. In: Proceedings of the 25th IEEE Conference on Image Processing (ICIP), pp. 3438\u20133442 (2018)","DOI":"10.1109\/ICIP.2018.8451394"},{"key":"32_CR14","unstructured":"Real, E., et al.: Regularized evolution for image classifier architecture search. CoRR abs\/1802.01548 (2018). \n                      http:\/\/arxiv.org\/abs\/1802.01548"},{"key":"32_CR15","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1162\/neco.1990.2.3.374","volume":"2","author":"D Schwartz","year":"1990","unstructured":"Schwartz, D., et al.: Exhaustive learning. Neural Comput. 2, 371\u2013382 (1990)","journal-title":"Neural Comput."}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2019: Deep Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30484-3_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T19:04:50Z","timestamp":1567969490000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30484-3_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030304836","9783030304843"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30484-3_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"9 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}