{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T16:21:06Z","timestamp":1726762866149},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Project","award":["2018AAA0100105","2018AAA0100100"]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61822301","61876123","61906001","62136008","U21A20512","U1804262"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005953","name":"Hong Kong Scholars Program","doi-asserted-by":"publisher","award":["XJ2019035"],"id":[{"id":"10.13039\/501100005953","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Anhui Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["1808085J06","1908085QF271"],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Collaborative Innovation Program of Universities in Anhui Province","award":["GXXT-2020-013"]},{"DOI":"10.13039\/501100011248","name":"State Key Laboratory of Synthetical Automation for Process Industries","doi-asserted-by":"publisher","award":["PAL-N201805"],"id":[{"id":"10.13039\/501100011248","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Dev. Syst."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tcds.2022.3179482","type":"journal-article","created":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T19:48:46Z","timestamp":1654112926000},"page":"1778-1792","source":"Crossref","is-referenced-by-count":11,"title":["Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-0837-5424","authenticated-orcid":false,"given":"Shangshang","family":"Yang","sequence":"first","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3487-5126","authenticated-orcid":false,"given":"Ye","family":"Tian","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institute of Physical Science and Information Technology, Anhui University, Hefei, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9107-1677","authenticated-orcid":false,"given":"Xiaoshu","family":"Xiang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"}]},{"given":"Shichen","family":"Peng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-5052-000X","authenticated-orcid":false,"given":"Xingyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institute of Physical Science and Information Technology, Anhui University, Hefei, China"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25566-3_40"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11709"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00257"},{"key":"ref70","article-title":"Designing neural network architectures using reinforcement learning","author":"baker","year":"2016","journal-title":"arXiv 1611 02167"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.851275"},{"key":"ref77","first-page":"1","article-title":"Neural architecture search: A survey","volume":"20","author":"elsken","year":"2019","journal-title":"J Mach Learn Res"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_32"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2881143"},{"key":"ref75","article-title":"A survey on neural architecture search","author":"wistuba","year":"2019","journal-title":"arXiv 1905 01392"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2924461"},{"key":"ref78","article-title":"Learning architectures for binary networks","author":"singh","year":"2020","journal-title":"arXiv 2002 06963"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2916183"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2919608"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref30","first-page":"1","article-title":"Hierarchical representations for efficient architecture search","author":"liu","year":"2018","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref37","article-title":"Peephole: Predicting network performance before training","author":"deng","year":"2017","journal-title":"arXiv 1712 03351"},{"key":"ref36","article-title":"Accelerating neural architecture search using performance prediction","author":"baker","year":"2017","journal-title":"arXiv 1705 10823"},{"key":"ref35","article-title":"Freeze-thaw Bayesian optimization","author":"swersky","year":"2014","journal-title":"arXiv 1406 3896"},{"key":"ref34","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1968.10480934"},{"key":"ref62","article-title":"Action command encoding for surrogate assisted neural architecture search","author":"tian","year":"2021","journal-title":"IEEE Trans Cogn Devel Syst"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-1542"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2021.100894"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.154"},{"key":"ref64","volume":"5","author":"coello","year":"2007","journal-title":"Evolutionary Algorithms for Solving Multi-Objective Problems"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2018.09.009"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2918140"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref29","first-page":"2902","article-title":"Large-scale evolution of image classifiers","author":"real","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref68","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref2","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref1","first-page":"2014","article-title":"Learning convolutional neural networks for graphs","author":"niepert","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321729"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403137"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2983860"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(03)00158-8"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2020.3024708"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2962137"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2945241"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2006.1597059"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.03.070"},{"key":"ref59","article-title":"Finding better topologies for deep convolutional neural networks by evolution","author":"zhang","year":"2018","journal-title":"arXiv 1809 03242"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00018"},{"key":"ref57","article-title":"Evolutionary neural architecture search for retinal vessel segmentation","author":"fan","year":"2020","journal-title":"arXiv 2001 06678"},{"key":"ref56","article-title":"A survey on evolutionary neural architecture search","author":"liu","year":"2020","journal-title":"arXiv 2008 10937"},{"key":"ref55","article-title":"The evolved transformer","author":"so","year":"2019","journal-title":"arXiv 1901 11117"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2933947"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1162\/evco_a_00253"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16670-0_13"},{"key":"ref12","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"2016","journal-title":"arXiv 1611 01578"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref14","first-page":"4095","article-title":"Efficient neural architecture search via parameters sharing","author":"pham","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00492"},{"key":"ref16","first-page":"1","article-title":"DARTS: Differentiable architecture search","author":"liu","year":"2018","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref17","first-page":"7816","article-title":"Neural architecture optimization","author":"luo","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","first-page":"2016","article-title":"Neural architecture search with bayesian optimisation and optimal transport","author":"kandasamy","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330648"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2018.2840738"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2339736"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICUFN.2018.8436736"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-012-0845-1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322432"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.jors.2601917"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref46","first-page":"1","article-title":"Efficient multi-objective neural architecture search via lamarckian evolution","author":"elsken","year":"2018","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.900837"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45712-7_29"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.03.004"},{"key":"ref41","article-title":"Sampled training and node inheritance for fast evolutionary neural architecture search","author":"zhang","year":"2020","journal-title":"arXiv 2003 11613"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2758360"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00190"}],"container-title":["IEEE Transactions on Cognitive and Developmental Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274989\/9976403\/09786036.pdf?arnumber=9786036","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:08:31Z","timestamp":1672081711000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9786036\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":78,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcds.2022.3179482","relation":{},"ISSN":["2379-8920","2379-8939"],"issn-type":[{"value":"2379-8920","type":"print"},{"value":"2379-8939","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}