{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:12:21Z","timestamp":1783527141208,"version":"3.55.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"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":["11991023"],"award-info":[{"award-number":["11991023"]}],"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":["62076197"],"award-info":[{"award-number":["62076197"]}],"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":["61903294"],"award-info":[{"award-number":["61903294"]}],"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":["U1811461"],"award-info":[{"award-number":["U1811461"]}],"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":["11690011"],"award-info":[{"award-number":["11690011"]}],"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":["61721002"],"award-info":[{"award-number":["61721002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Comput. Intell. Mag."],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1109\/mci.2022.3222057","type":"journal-article","created":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T19:51:00Z","timestamp":1675367460000},"page":"84-103","source":"Crossref","is-referenced-by-count":22,"title":["Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7395-1147","authenticated-orcid":false,"given":"Haotian","family":"Zhang","sequence":"first","affiliation":[{"name":"Xi’an Jiaotong University, CHINA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9188-1856","authenticated-orcid":false,"given":"Jianyong","family":"Sun","sequence":"additional","affiliation":[{"name":"Xi’an Jiaotong University, CHINA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6768-1478","authenticated-orcid":false,"given":"Thomas","family":"Back","sequence":"additional","affiliation":[{"name":"Leiden University, THE NETHERLANDS"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingfu","family":"Zhang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, HONG KONG"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongben","family":"Xu","sequence":"additional","affiliation":[{"name":"Xi’an Jiaotong University, CHINA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780195099713.001.0001"},{"key":"ref2","volume-title":"Genetic Algorithm in Search, Optimization, and Machine Learning","author":"Goldberg","year":"1989"},{"key":"ref3","first-page":"79","article-title":"An introduction to differential evolution","volume-title":"New Ideas in Optimization.","author":"Price","year":"1999"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2059031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MHS.1995.494215"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1162\/106365603321828970"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-03315-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185665"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2921598"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2014613"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2013.6557555"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2014.6900380"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2016.05.003"},{"key":"ref14","first-page":"3981","article-title":"Learning to learn by gradient descent by gradient descent","volume-title":"Proc. Conf. Workshop Neural Inf. Process. Syst.","author":"Andrychowicz","year":"2016"},{"key":"ref15","article-title":"Learning to optimize","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1998.712192"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2018.8477908"},{"key":"ref18","article-title":"A tutorial on Bayesian optimization","author":"Frazier","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25566-3_40"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2861"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7744410"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2019.8789891"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2590558"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2008.927706"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2008.4630935"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7743922"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/cec.2017.7969456"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2009.2015956"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2006.872133"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.01.038"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-005-0537-1"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00267-0_7"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2011.5949946"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.09.009"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.09.019"},{"key":"ref36","volume-title":"Hybrid Evolutionary Algorithms","volume":"75","author":"Ajith","year":"2007"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2005.06.006"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2002.1007911"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-016-2414-5"},{"key":"ref40","first-page":"7","article-title":"Competitive differential evolution","volume-title":"Proc. MENDEL","author":"Tvrd\u00edk","year":"2006"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015297"},{"key":"ref43","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref44","first-page":"748","article-title":"Learning to learn without gradient descent by gradient descent","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321813"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref47","first-page":"1","article-title":"Playing atari with deep reinforcement learning","author":"Mnih","year":"2013","journal-title":"Comput. Sci."},{"issue":"1","key":"ref48","first-page":"1334","article-title":"End-to-end training of deep visuomotor policies","volume":"17","author":"Levine","year":"2015","journal-title":"J. Mach. Learn. Res."},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref50","article-title":"Variational deep Q network","volume-title":"Proc. Workshop Conf. Workshop Neural Inf. Process. Syst.","author":"Tang","year":"2017"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-7566-5"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2892735"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00009"}],"container-title":["IEEE Computational Intelligence Magazine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10207\/10025843\/10035716.pdf?arnumber=10035716","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T13:49:44Z","timestamp":1707832184000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10035716\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":53,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/mci.2022.3222057","relation":{},"ISSN":["1556-603X","1556-6048"],"issn-type":[{"value":"1556-603X","type":"print"},{"value":"1556-6048","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2]]}}}