{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T14:55:33Z","timestamp":1784904933350,"version":"3.55.0"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"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\/501100000923","name":"Australian Research Council","doi-asserted-by":"crossref","award":["LP180100114"],"award-info":[{"award-number":["LP180100114"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"crossref","award":["DP200102611"],"award-info":[{"award-number":["DP200102611"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Evol. Computat."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tevc.2025.3541971","type":"journal-article","created":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T13:40:28Z","timestamp":1739454028000},"page":"241-255","source":"Crossref","is-referenced-by-count":4,"title":["Many-Problem Surrogates for Transfer Evolutionary Multiobjective Optimization With Sparse Transfer Stacking"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6294-6761","authenticated-orcid":false,"given":"Hao","family":"Li","sequence":"first","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fanggao","family":"Wan","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, Shaanxi, 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’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"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3459-5079","authenticated-orcid":false,"given":"Yue","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi’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’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.892759"},{"key":"ref3","first-page":"283","article-title":"PESA-II: Region-based selection in evolutionary multiobjective optimization","volume-title":"Proc. Genet. Evol. Comput. Conf.","author":"Corne"},{"key":"ref4","first-page":"95","article-title":"SPEA2: Improving the strength Pareto evolutionary algorithm","volume":"3242","author":"Zitzler","year":"2001","journal-title":"Eurogen"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.08.008"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2018.2864747"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2710978"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3060833"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2017.2661739"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3259947"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-020-02522-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3163129"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.851274"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87700-4_78"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.01.048"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2033671"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2622301"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119495"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2965-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2020.3039066"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2769104"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2864345"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2771451"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2458037"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2554622"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2881955"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2783441"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2024.3384478"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.07.019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110182"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2682274"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2981733"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2021.3096220"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2925959"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106276"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2020.3039067"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3126341"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1162\/106365601750190406"},{"issue":"4","key":"ref39","first-page":"30","article-title":"A combined genetic adaptive search (GeneAS) for engineering design","volume":"26","author":"Deb","year":"1996","journal-title":"Comput. Sci. Informat."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.20042"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3100554"},{"key":"ref42","first-page":"12","article-title":"Practical Bayesian optimization of machine learning algorithms","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Snoek"},{"key":"ref43","article-title":"Cost-aware Bayesian optimization","author":"Lee","year":"2020","journal-title":"arXiv:2003.10870"},{"key":"ref44","first-page":"2004","article-title":"Multi-task Bayesian optimization","volume":"26","author":"Swersky","year":"2013","journal-title":"Proc. Adv. Neural Inf. Process. Syst."},{"key":"ref45","first-page":"568","article-title":"A nonmyopic approach to cost-constrained Bayesian optimization","volume-title":"Proc. Uncertainty Artif. Intell.","author":"Lee"},{"key":"ref46","article-title":"Cost-aware Bayesian optimization via the Pandora\u2019s box Gittins index","author":"Xie","year":"2024","journal-title":"arXiv:2406.20062"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-017-5683-z"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281535"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2802784"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2697503"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2908812.2908866"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2023.101323"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2023.3237605"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s10710-005-6164-x"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/4235.797969"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/1-84628-137-7_6"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054824"},{"key":"ref58","first-page":"199","article-title":"Collaborative hyperparameter tuning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bardenet"},{"key":"ref59","volume-title":"YOLOv5 by ultralytics","author":"Jocher","year":"2020"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3447582"},{"key":"ref64","article-title":"A survey on multi-objective neural architecture search","author":"Shariatzadeh","year":"2023","journal-title":"arXiv:2307.09099"},{"key":"ref65","first-page":"1","article-title":"NAS-bench-201: Extending the scope of reproducible neural architecture search","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dong"}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4235\/11369807\/10884905.pdf?arnumber=10884905","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T20:44:37Z","timestamp":1770065077000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10884905\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":65,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2025.3541971","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":[[2026,2]]}}}