{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T20:22:39Z","timestamp":1784233359370,"version":"3.55.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62036006"],"award-info":[{"award-number":["62036006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61906146"],"award-info":[{"award-number":["61906146"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["LP180100114"],"award-info":[{"award-number":["LP180100114"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP200102611"],"award-info":[{"award-number":["DP200102611"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Evol. Computat."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/tevc.2023.3319567","type":"journal-article","created":{"date-parts":[[2023,9,26]],"date-time":"2023-09-26T17:49:48Z","timestamp":1695750588000},"page":"608-622","source":"Crossref","is-referenced-by-count":11,"title":["Surrogate-Assisted Evolutionary Multiobjective Neural Architecture Search Based on Transfer Stacking and Knowledge Distillation"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4621-5088","authenticated-orcid":false,"given":"Kuangda","family":"Lyu","sequence":"first","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6294-6761","authenticated-orcid":false,"given":"Hao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0415-8556","authenticated-orcid":false,"given":"Maoguo","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6983-4244","authenticated-orcid":false,"given":"Lining","family":"Xing","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6631-1651","authenticated-orcid":false,"given":"A. K.","family":"Qin","sequence":"additional","affiliation":[{"name":"Department of Computing Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/7313612"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3079985"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1905.01392"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00206"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref7","first-page":"1","article-title":"NEMO: Neuro-evolution with multiobjective optimization of deep neural network for speed and accuracy","volume-title":"Proc. ICML AutoML Workshop","author":"Kim"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321729"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_3"},{"key":"ref11","first-page":"507","article-title":"Multi-objective Bayesian optimization over high-dimensional search spaces","volume-title":"Proc. Uncertainty Artif. Intell.","author":"Daulton"},{"key":"ref12","first-page":"1","article-title":"Tackling neural architecture search with quality diversity optimization","volume-title":"Proc. Int. Conf. Autom. Mach. Learn.","author":"Schneider"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2458037"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.07.019"},{"key":"ref15","first-page":"4095","article-title":"Efficient neural architecture search via parameters sharing","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Pham"},{"key":"ref16","article-title":"Once-for-all: Train one network and specialize it for efficient deployment","author":"Cai","year":"2019","journal-title":"arXiv:1908.09791"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2783441"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5866"},{"key":"ref19","article-title":"Designing neural network architectures using reinforcement learning","author":"Baker","year":"2016","journal-title":"arXiv:1611.02167"},{"key":"ref20","article-title":"DARTS: Differentiable architecture search","author":"Liu","year":"2018","journal-title":"arXiv:1806.09055"},{"key":"ref21","article-title":"SharpDARTS: Faster and more accurate differentiable architecture search","author":"Hundt","year":"2019","journal-title":"arXiv:1903.09900"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.154"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1611.01578"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01206"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_32"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00040"},{"key":"ref29","article-title":"Zero-cost proxies for lightweight NAS","author":"Abdelfattah","year":"2021","journal-title":"arXiv:2101.08134"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01162"},{"key":"ref31","article-title":"MONAS: Multi-objective neural architecture search using reinforcement learning","author":"Hsu","year":"2018","journal-title":"arXiv:1806.10332"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2928174"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.11.009"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-04032-y"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102154"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3579853"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12010050"},{"key":"ref38","article-title":"Latency-aware neural architecture search with multi-objective Bayesian optimization","author":"Eriksson","year":"2021","journal-title":"arXiv:2106.11890"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17233"},{"key":"ref40","first-page":"1808","article-title":"Bridging the gap between sample-based and one-shot neural architecture search with BONAS","volume-title":"Proc. Adv. Neural Inf. Process Syst.","volume":"33","author":"Shi"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3151160"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_39"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01195"},{"key":"ref44","article-title":"B2EA: An evolutionary algorithm assisted by two Bayesian optimization modules for neural architecture search","author":"Cho","year":"2022","journal-title":"arXiv:2202.03005"},{"key":"ref45","first-page":"1","article-title":"Neural architecture search with Bayesian optimisation and optimal transport","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Kandasamy"},{"key":"ref46","first-page":"863","article-title":"Boosting for regression transfer","volume-title":"Proc. 27th Int. Conf. Mach. Learn.","author":"Pardoe"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106276"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.851274"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s40840-017-0579-4"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008306431147"},{"key":"ref51","article-title":"Local search is state of the art for NAS benchmarks","author":"White","year":"2020","journal-title":"arXiv:2005.02960"},{"key":"ref52","article-title":"NAS-Bench-201: Extending the scope of reproducible neural architecture search","author":"Dong","year":"2020","journal-title":"arXiv:2001.00326"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref54","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref55","first-page":"7105","article-title":"NAS-Bench-101: Towards reproducible neural architecture search","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ying"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2924461"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108962"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-5577-0_11"}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4235\/10542475\/10263998.pdf?arnumber=10263998","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T17:45:08Z","timestamp":1722879908000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10263998\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":58,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2023.3319567","relation":{},"ISSN":["1089-778X","1089-778X","1941-0026"],"issn-type":[{"value":"1089-778X","type":"print"},{"value":"1089-778X","type":"print"},{"value":"1941-0026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}