{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T03:50:51Z","timestamp":1777780251979,"version":"3.51.4"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"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"}]},{"name":"Major Project of National Science Foundation of China","award":["U1811461"],"award-info":[{"award-number":["U1811461"]}]},{"name":"Key Project of National Science Foundation of China","award":["11690011"],"award-info":[{"award-number":["11690011"]}]},{"name":"Project of National Science Foundation of China","award":["61721002"],"award-info":[{"award-number":["61721002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1109\/tetci.2022.3210927","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T20:10:48Z","timestamp":1665432648000},"page":"872-886","source":"Crossref","is-referenced-by-count":27,"title":["Learning Adaptive Differential Evolution by Natural Evolution Strategies"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7395-1147","authenticated-orcid":false,"given":"Haotian","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics and National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9188-1856","authenticated-orcid":false,"given":"Jianyong","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics and National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6802-2463","authenticated-orcid":false,"given":"Kay Chen","family":"Tan","sequence":"additional","affiliation":[{"name":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongben","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics and National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2921598"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/NILES53778.2021.9600551"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2019.8789891"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3060811"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2009.2015956"},{"key":"ref59","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316887","author":"puterman","year":"1994","journal-title":"Markov Decision Processes Discrete Stochastic Dynamic Programming"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2004.06.009"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2008.4631255"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321813"},{"key":"ref52","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7744410"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2018.8477908"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2861"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185665"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2008.927706"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99253-2_5"},{"key":"ref19","first-page":"156","article-title":"Advanced differential evolution algorithm for global numerical optimization","author":"mohamed","year":"0","journal-title":"Proc IEEE Int Conf Comput Appl Ind Electron"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.04.036"},{"key":"ref51","first-page":"15580","article-title":"Exact combinatorial optimization with graph convolutional neural networks","author":"gasse","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref50","first-page":"537","article-title":"Combinatorial optimization with graph convolutional networks and guided tree search","author":"li","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref46","first-page":"6348","article-title":"Learning combinatorial optimization algorithms over graphs","author":"dai","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","first-page":"748","article-title":"Learning to learn without gradient descent by gradient descent","author":"chen","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref48","first-page":"2702","article-title":"Discriminative embeddings of latent variable models for structured data","author":"dai","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref47","first-page":"1","article-title":"Neural combinatorial optimization with reinforcement learning","author":"bello","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref42","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015297"},{"key":"ref43","first-page":"1","article-title":"Learning to optimize","author":"li","year":"0","journal-title":"Proc Int Conf Learn Representation"},{"key":"ref49","first-page":"2692","article-title":"Pointer networks","author":"vinyals","year":"0","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref8","article-title":"A tutorial on bayesian optimization","author":"frazier","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MHS.1995.494215"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25566-3_40"},{"key":"ref4","first-page":"79","author":"price","year":"1999","journal-title":"An Introduction to Differential Evolution"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/106365603321828970"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3077242"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2059031"},{"key":"ref40","first-page":"3981","article-title":"Learning to learn by gradient descent by gradient descent","author":"andrychowicz","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.09.053"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2018.10.006"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2010.04.024"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2087271"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.09.002"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2399478"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-018-0086-8"},{"key":"ref32","first-page":"103","article-title":"Single-objective real-parameter optimization: Enhanced LSHADE-SPACMA algorithm","author":"hadi","year":"2020","journal-title":"Heuristics for Optimization and Learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1162\/106365601750190398"},{"key":"ref1","author":"goldberg","year":"1989","journal-title":"Genetic Algorithm in Search Optimization and Machine Learning"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2892735"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2996355"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-017-0711-7"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-02357-7_21"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2777-2"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00009"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2014613"},{"key":"ref25","first-page":"7","article-title":"Competitive differential evolution","author":"tvrdik","year":"0","journal-title":"Proc MENDEL"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.02.002"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2006.872133"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3520304.3528906"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.01.038"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2013.6557555"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04962-0_25"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/BF02551274"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7743922"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2014.6900380"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2017.7969456"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1998.712192"},{"key":"ref62","first-page":"1","article-title":"Learning to mutate for differntial evolution","author":"zhang","year":"0","journal-title":"Proc IEEE Congr Evol Comput"},{"key":"ref61","article-title":"Evolution strategies as a scalable alternative to reinforcement learning","author":"tim","year":"2017"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7433297\/10132901\/09914631.pdf?arnumber=9914631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:23:29Z","timestamp":1687199009000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9914631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":69,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2022.3210927","relation":{},"ISSN":["2471-285X"],"issn-type":[{"value":"2471-285X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6]]}}}