{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T17:00:35Z","timestamp":1776445235257,"version":"3.51.2"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030299323","type":"print"},{"value":"9783030299330","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,8,30]],"date-time":"2019-08-30T00:00:00Z","timestamp":1567123200000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-29933-0_10","type":"book-chapter","created":{"date-parts":[[2019,8,29]],"date-time":"2019-08-29T06:32:58Z","timestamp":1567060378000},"page":"119-130","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["DeepSwarm: Optimising Convolutional Neural Networks Using Swarm Intelligence"],"prefix":"10.1007","author":[{"given":"Edvinas","family":"Byla","sequence":"first","affiliation":[]},{"given":"Wei","family":"Pang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,30]]},"reference":[{"key":"10_CR1","unstructured":"Baker, B., Gupta, O., Naik, N., Raskar, R.: Designing neural network architectures using reinforcement learning. arXiv preprint \n                    arXiv:1611.02167\n                    \n                   (2016)"},{"key":"10_CR2","first-page":"281","volume":"13","author":"J Bergstra","year":"2012","unstructured":"Bergstra, J., Bengio, Y.: Random search for hyper-parameter optimization. J. Mach. Learn. Res. 13, 281\u2013305 (2012)","journal-title":"J. Mach. Learn. Res."},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Desell, T., Clachar, S., Higgins, J., Wild, B.: Evolving deep recurrent neural networks using ant colony optimization. In: European Conference on Evolutionary Computation in Combinatorial Optimization, pp. 86\u201398. Springer (2015)","DOI":"10.1007\/978-3-319-16468-7_8"},{"key":"10_CR4","first-page":"3460","volume":"15","author":"T Domhan","year":"2015","unstructured":"Domhan, T., Springenberg, J.T., Hutter, F.: Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves. IJCAI 15, 3460\u20138 (2015)","journal-title":"IJCAI"},{"key":"10_CR5","unstructured":"Dorigo, M.: Optimization, learning and natural algorithms. PhD Thesis, Politecnico di Milano (1992). \n                    https:\/\/ci.nii.ac.jp\/naid\/10000136323\/en\/"},{"issue":"1","key":"10_CR6","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/4235.585892","volume":"1","author":"M Dorigo","year":"1997","unstructured":"Dorigo, M., Gambardella, L.M.: Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans. Evol. Comput. 1(1), 53\u201366 (1997)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"ElSaid, A., Jamiy, F.E., Higgins, J., Wild, B., Desell, T.: Using ant colony optimization to optimize long short-term memory recurrent neural networks. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 13\u201320. ACM (2018)","DOI":"10.1145\/3205455.3205637"},{"key":"10_CR8","unstructured":"Elsken, T., Metzen, J.H., Hutter, F.: Simple and efficient architecture search for convolutional neural networks. arXiv preprint \n                    arXiv:1711.04528\n                    \n                   (2017)"},{"key":"10_CR9","unstructured":"Google: \n                    https:\/\/colab.research.google.com"},{"key":"10_CR10","unstructured":"Jin, H., Song, Q., Hu, X.: Efficient neural architecture search with network morphism. arXiv preprint \n                    arXiv:1806.10282\n                    \n                   (2018)"},{"key":"10_CR11","unstructured":"Krizhevsky, A., Nair, V., Hinton, G.: The cifar-10 dataset. \n                    http:\/\/www.cs.toronto.edu\/kriz\/cifar.html\n                    \n                  p. 4 (2014)"},{"key":"10_CR12","unstructured":"LeCun, Y.: The mnist database of handwritten digits. \n                    http:\/\/yann.lecun.com\/exdb\/mnist\/\n                    \n                   (1998)"},{"issue":"7553","key":"10_CR13","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436 (2015)","journal-title":"Nature"},{"key":"10_CR14","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/978-3-030-01246-5_2","volume-title":"Computer Vision \u2013 ECCV 2018","author":"Chenxi Liu","year":"2018","unstructured":"Liu, C., Zoph, B., Neumann, M., Shlens, J., Hua, W., Li, L.J., Fei-Fei, L., Yuille, A., Huang, J., Murphy, K.: Progressive neural architecture search. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 19\u201334 (2018)"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Miikkulainen, R., Liang, J., Meyerson, E., Rawal, A., Fink, D., Francon, O., Raju, B., Shahrzad, H., Navruzyan, A., Duffy, N., et\u00a0al.: Evolving deep neural networks. In: Artificial Intelligence in the Age of Neural Networks and Brain Computing, pp. 293\u2013312. Elsevier (2019)","DOI":"10.1016\/B978-0-12-815480-9.00015-3"},{"key":"10_CR16","first-page":"379","volume":"89","author":"GF Miller","year":"1989","unstructured":"Miller, G.F., Todd, P.M., Hegde, S.U.: Designing neural networks using genetic algorithms. ICGA 89, 379\u2013384 (1989)","journal-title":"ICGA"},{"key":"10_CR17","unstructured":"Negrinho, R., Gordon, G.: Deeparchitect: Automatically designing and training deep architectures. arXiv preprint \n                    arXiv:1704.08792\n                    \n                   (2017)"},{"key":"10_CR18","unstructured":"Pham, H., Guan, M.Y., Zoph, B., Le, Q.V., Dean, J.: Efficient neural architecture search via parameter sharing. arXiv preprint \n                    arXiv:1802.03268\n                    \n                   (2018)"},{"key":"10_CR19","unstructured":"Real, E., Moore, S., Selle, A., Saxena, S., Suematsu, Y.L., Tan, J., Le, Q., Kurakin, A.: Large-scale evolution of image classifiers. arXiv preprint \n                    arXiv:1703.01041\n                    \n                   (2017)"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Salama, K., Abdelbar, A.M.: A novel ant colony algorithm for building neural network topologies. In: International Conference on Swarm Intelligence, pp. 1\u201312. Springer (2014)","DOI":"10.1007\/978-3-319-09952-1_1"},{"key":"10_CR21","doi-asserted-by":"crossref","unstructured":"Suganuma, M., Shirakawa, S., Nagao, T.: A genetic programming approach to designing convolutional neural network architectures. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 497\u2013504. ACM (2017)","DOI":"10.1145\/3071178.3071229"},{"key":"10_CR22","unstructured":"Wistuba, M., Rawat, A., Pedapati, T.: A survey on neural architecture search (2019)"},{"key":"10_CR23","unstructured":"Xiao, H., Rasul, K., Vollgraf, R.: Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint \n                    arXiv:1708.07747\n                    \n                   (2017)"},{"key":"10_CR24","unstructured":"Zoph, B., Le, Q.V.: Neural architecture search with reinforcement learning. arXiv preprint \n                    arXiv:1611.01578\n                    \n                   (2016)"},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Zoph, B., Vasudevan, V., Shlens, J., Le, Q.V.: Learning transferable architectures for scalable image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8697\u20138710 (2018)","DOI":"10.1109\/CVPR.2018.00907"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Computational Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29933-0_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,29]],"date-time":"2019-08-29T06:39:41Z","timestamp":1567060781000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29933-0_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,30]]},"ISBN":["9783030299323","9783030299330"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29933-0_10","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,30]]},"assertion":[{"value":"30 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"UKCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"UK Workshop on Computational Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portsmouth","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","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":"11 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ukci2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}