{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T18:52:12Z","timestamp":1783968732774,"version":"3.55.0"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Key Project of Science and Technology Innovation 2030"},{"name":"Ministry of Science and Technology of China","award":["2018AAA0101300"],"award-info":[{"award-number":["2018AAA0101300"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976093"],"award-info":[{"award-number":["61976093"]}],"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":["61876111"],"award-info":[{"award-number":["61876111"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Jiangsu","award":["SBK2020040136"],"award-info":[{"award-number":["SBK2020040136"]}]},{"name":"Brain Pool program"},{"DOI":"10.13039\/501100004608","name":"Ministry of Science and ICT through the National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2019H1D3A2A01101977"],"award-info":[{"award-number":["NRF-2019H1D3A2A01101977"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Evol. Computat."],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1109\/tevc.2020.3017865","type":"journal-article","created":{"date-parts":[[2020,8,19]],"date-time":"2020-08-19T20:28:23Z","timestamp":1597868903000},"page":"219-233","source":"Crossref","is-referenced-by-count":135,"title":["A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization"],"prefix":"10.1109","volume":"25","author":[{"given":"Feng-Feng","family":"Wei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0843-5802","authenticated-orcid":false,"given":"Wei-Neng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0277-3077","authenticated-orcid":false,"given":"Qiang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremiah","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0751-5045","authenticated-orcid":false,"given":"Xiao-Nan","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3505-6843","authenticated-orcid":false,"given":"Hu","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7835-9871","authenticated-orcid":false,"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2027359"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2899030"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2869674"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15844-5_37"},{"key":"ref31","first-page":"2832","article-title":"A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm","volume":"3","author":"zhou","year":"2005","journal-title":"Proc Congr Evol Comput (CEC)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.04.062"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065704001899"},{"key":"ref36","author":"hassoun","year":"1995","journal-title":"Fundamentals of Artificial Neural Networks"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018628609742"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2670659"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2262111"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2834881"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2890818"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2005.05.020"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3927.001.0001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-003-0330-y"},{"key":"ref22","first-page":"18","article-title":"A multi-objective evolutionary algorithm using neural networks to approximate fitness evaluations","volume":"6","author":"gaspar-cunha","year":"2005","journal-title":"Int J Comput Syst Signals"},{"key":"ref21","first-page":"581","article-title":"Steady state IBEA assisted by MLP neural networks for expensive multi-objective optimization problems","author":"nesrine","year":"2014","journal-title":"Proc Annu Conf Genet Evol Comput (GECCO)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.2009.2025320"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2010.2046919"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.892759"},{"key":"ref25","first-page":"1405","article-title":"MOEA\/D assisted by RBF networks for expensive multi-objective optimization problems","author":"mart\u00ednez","year":"2013","journal-title":"Proc 15th Annu Conf Genet Evol Comput (GECCO)"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-0703-9_8"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"3358","DOI":"10.1016\/j.patcog.2007.04.009","article-title":"Cost-sensitive boosting for classification of imbalanced data","volume":"40","author":"yanmin sun","year":"2007","journal-title":"Pattern Recognit"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.09.030"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.859463"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.11.004"},{"key":"ref54","article-title":"Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization","author":"suganthan","year":"2005"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2675628"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1987.10488205"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.05.001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2869001"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2919762"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2555315"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2248012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2018.8477766"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/106365601750190398"},{"key":"ref16","first-page":"1","article-title":"Small data driven evolutionary multi-objective optimization of fused magnesium furnaces","author":"guo","year":"2016","journal-title":"Proc IEEE Symp Series Comput Intell (SSCI)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45356-3_83"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/10426914.2016.1269923"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88411-8_19"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","article-title":"Particle swarm optimization","volume":"4","author":"eberhart","year":"1995","journal-title":"Proc IEEE Int Conf Neural Netw (ICNN)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2922266"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2904543"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2020.2975774"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2893447"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008202821328"},{"key":"ref49","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: A gradient boosting machine","volume":"29","author":"friedman","year":"2001","journal-title":"Ann Stat"},{"key":"ref9","author":"dasgupta","year":"2013","journal-title":"Evolutionary Algorithms in Engineering Applications"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2802784"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-012-1282-4"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2743016"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(01)00065-2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-014-1283-z"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2710978"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/1830483.1830571"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2809430"}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4235\/9390472\/09171272.pdf?arnumber=9171272","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:16Z","timestamp":1652194276000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9171272\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":57,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2020.3017865","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":[[2021,4]]}}}