{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T13:45:52Z","timestamp":1774964752531,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773103"],"award-info":[{"award-number":["61773103"]}],"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":["61973305"],"award-info":[{"award-number":["61973305"]}],"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":["61872073"],"award-info":[{"award-number":["61872073"]}],"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":["71620107003"],"award-info":[{"award-number":["71620107003"]}],"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":["61673331"],"award-info":[{"award-number":["61673331"]}],"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":["62032013"],"award-info":[{"award-number":["62032013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018617","name":"Liaoning Revitalization Talents Program","doi-asserted-by":"publisher","award":["XLYC1902010"],"award-info":[{"award-number":["XLYC1902010"]}],"id":[{"id":"10.13039\/501100018617","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018617","name":"Liaoning Revitalization Talents Program","doi-asserted-by":"publisher","award":["XLYC1802115"],"award-info":[{"award-number":["XLYC1802115"]}],"id":[{"id":"10.13039\/501100018617","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tcyb.2021.3086501","type":"journal-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T19:00:21Z","timestamp":1629831621000},"page":"12698-12711","source":"Crossref","is-referenced-by-count":152,"title":["Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9969-211X","authenticated-orcid":false,"given":"Lianbo","family":"Ma","sequence":"first","affiliation":[{"name":"College of Software, Northeastern University, Shenyang, China"}]},{"given":"Nan","family":"Li","sequence":"additional","affiliation":[{"name":"College of Software, Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4276-5410","authenticated-orcid":false,"given":"Yinan","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, China University of Mining and Technology (Beijing), Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2856-4716","authenticated-orcid":false,"given":"Xingwei","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7222-4917","authenticated-orcid":false,"given":"Shengxiang","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Informatics, De Montfort University, Leicester, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3793-968X","authenticated-orcid":false,"given":"Min","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1360-5995","authenticated-orcid":false,"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2019.8790214"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281534"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-51691-2_28"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2926151"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2507366"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2922419"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.07.012"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2587808"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2695579"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2725902"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2866927"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281535"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2749619"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.02.031"},{"key":"ref1","author":"coello coello","year":"2007","journal-title":"Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2020.2978158"},{"key":"ref22","first-page":"440","article-title":"A survey of multiobjective evolutionary algorithms based on decomposition","volume":"21","author":"trivedi","year":"2017","journal-title":"IEEE Trans Evol Comput"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2519378"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2737519"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2874465"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2373386"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2587749"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2017.2742868"},{"key":"ref51","article-title":"Benchmark functions for CEC’2018 competition on many-objective optimization","author":"cheng","year":"2017"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2020.2981949"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2020.3004012"},{"key":"ref52","article-title":"Scalable test problems for evolutionary multi-objective optimization","author":"deb","year":"2001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2420112"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2258025"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00109"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2058117"},{"key":"ref13","first-page":"383","article-title":"An efficient algorithm for com-puting hypervolume contributions","volume":"18","author":"bringmann","year":"2010","journal-title":"IEEE Trans Evol Comput"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281525"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-44973-4_8"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/4235.797969"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.892759"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281533"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2737554"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2001.934293"},{"key":"ref3","article-title":"An adaptive localized decision variable analysis approach to large-scale multi-objective and many-objective optimization","author":"ma","year":"2021","journal-title":"IEEE Trans Cybern"},{"key":"ref6","article-title":"Multiobjective overtaking maneuver planning for autonomous ground vehicles","author":"chai","year":"2020","journal-title":"IEEE Trans Cybern"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2015.06.007"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2962482"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2881190"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2387433"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2955400"},{"key":"ref46","first-page":"1","article-title":"Blending optimization model considering multiple production indices and satisfactory solution algorithm","volume":"41","author":"kong","year":"2010","journal-title":"J Central South Univ"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1080\/0305215X.2010.493937"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1126\/science.1242072"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2834466"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2865931"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2779450"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2011.09.041"},{"key":"ref43","first-page":"1","article-title":"Deep reinforcement learning for multi-objective optimization","volume":"14","author":"li","year":"2019","journal-title":"Journal of latex class files"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9954939\/09484680.pdf?arnumber=9484680","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:13:20Z","timestamp":1670872400000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9484680\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":54,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2021.3086501","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}