{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T14:55:35Z","timestamp":1784904935114,"version":"3.55.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["19511120600"],"award-info":[{"award-number":["19511120600"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"publisher","award":["61773296"],"award-info":[{"award-number":["61773296"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"publisher","award":["61673180"],"award-info":[{"award-number":["61673180"]}],"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":[[2020,12]]},"DOI":"10.1109\/tevc.2020.2986348","type":"journal-article","created":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T21:47:35Z","timestamp":1586382455000},"page":"1125-1139","source":"Crossref","is-referenced-by-count":37,"title":["Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3171-6194","authenticated-orcid":false,"given":"Hao","family":"Hao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinyuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3290-8331","authenticated-orcid":false,"given":"Xiaofen","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4768-5946","authenticated-orcid":false,"given":"Aimin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2005.855506"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/21.23094"},{"key":"ref32","first-page":"2","article-title":"The application of Bayesian methods for seeking the extremum","volume":"2","author":"mockus","year":"1978","journal-title":"Towards Global Optimazation"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1987.10488205"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2014.6900641"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.859463"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2248012"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1504\/IJBIC.2018.092807"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2002.800884"},{"key":"ref28","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"},{"key":"ref27","author":"storn","year":"1995","journal-title":"Differential Evolution&#x2014 A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ABLAZE.2015.7154916"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1504\/IJBIC.2014.060609"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1201\/9780367802486"},{"key":"ref20","first-page":"717","article-title":"A comparison study of surrogate model based preselection in evolutionary optimization","author":"hao","year":"2018","journal-title":"International Conference on Intelligent Computing"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33012403"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2015.7257247"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2802784"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2011.5949859"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.06.073"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-10439-8_40"},{"key":"ref50","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref51","author":"gujarati","year":"2009","journal-title":"Basic Econometrics"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3205651.3205717"},{"key":"ref57","volume":"751","author":"hollander","year":"2013","journal-title":"Nonparametric Statistical Methods"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/4235.771163","article-title":"Evolutionary programming made faster","volume":"3","author":"yao","year":"1999","journal-title":"IEEE Trans Evol Comput"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2004.06.009"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007733"},{"key":"ref53","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref52","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(02)00381-8"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2869001"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"ref12","first-page":"27","article-title":"Crowding and preselection revisited","author":"mahfoud","year":"1992","journal-title":"Proc Int Conf Parallel Problem Solving Nat (PPSN)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2018.2864747"},{"key":"ref14","first-page":"361","article-title":"Metamodel&#x2014;Assisted evolution strategies","author":"emmerich","year":"2002","journal-title":"Int Conference on Parallel Problem Solving From Nature (PPSN)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.05.001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7744340"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2965-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.04.062"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2670659"},{"key":"ref4","first-page":"1033","article-title":"The concave-convex procedure (CCCP)","author":"yuille","year":"2002","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref3","first-page":"2935","article-title":"Pareto ensemble pruning","author":"qian","year":"2015","journal-title":"Proc AAAI Conf Artif Intell (AAAI)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2027359"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2555315"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(01)00058-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-003-0328-5"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2087271"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2002.800886"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/978-3-642-35289-8_3","article-title":"Efficient backprop","author":"lecun","year":"2012","journal-title":"Neural Networks Tricks of the Trade"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref48","author":"friedman","year":"2001","journal-title":"The Elements of Statistical Learning"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref42","author":"rasmussen","year":"2006","journal-title":"gaussian process for machine learning"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116251"}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4235\/9273276\/09060983.pdf?arnumber=9060983","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T15:51:51Z","timestamp":1651074711000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9060983\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":58,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2020.2986348","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":[[2020,12]]}}}