{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:09:33Z","timestamp":1764785373240,"version":"3.37.3"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"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":["62276222"],"award-info":[{"award-number":["62276222"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Public Technology Service Platform Project of Xiamen City","award":["3502Z20231043"],"award-info":[{"award-number":["3502Z20231043"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tetci.2024.3386866","type":"journal-article","created":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T17:37:19Z","timestamp":1713461839000},"page":"4197-4209","source":"Crossref","is-referenced-by-count":3,"title":["Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3982-8978","authenticated-orcid":false,"given":"Haokai","family":"Hong","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence, Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan, Ministry of Culture and Tourism, School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2946-6974","authenticated-orcid":false,"given":"Min","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan, Ministry of Culture and Tourism, School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2415-0401","authenticated-orcid":false,"given":"Qiuzhen","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 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"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2331994"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3470971"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-020-1253-0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2979930"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2008.02.017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2918140"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2929555"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CEC55065.2022.9870430"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2013.6557903"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2704782"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2906383"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2020.2967501"},{"key":"ref14","first-page":"1","article-title":"High-dimensional data analysis: The curses and blessings of dimensionality","volume":"1","author":"Donoho","year":"2000","journal-title":"AMS Math Challenges Lecture"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","article-title":"Recommender systems survey","volume":"46","author":"Bobadilla","year":"2013","journal-title":"Knowl.-Based Syst."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3446427"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3319619.3322068"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205491"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2018.00031"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2455812"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2600642"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10664"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106120"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2896002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3155593"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.10.005"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3003926"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2881153"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3113158"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3063606"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.105437"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2022.101181"},{"key":"ref33","first-page":"1","article-title":"An empirical evaluation of Thompson sampling","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Chapelle","year":"2011"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.2307\/2332286"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.2307\/2371219"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1561\/9781680834710"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556252"},{"key":"ref38","first-page":"1297","article-title":"Efficient Thompson sampling for online matrix-factorization recommendation","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Kawale","year":"2015"},{"key":"ref39","first-page":"133","article-title":"Parallelised Bayesian optimisation via Thompson sampling","volume-title":"Proc. Twenty-First Int. Conf. Artif. Intell. Statist.","author":"Kandasamy","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58115-2_19"},{"key":"ref41","first-page":"3979","article-title":"Thompson sampling for high-dimensional sparse linear contextual bandits","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Chakraborty","year":"2023"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2011.144"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-34106-9_18"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2985081"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2017.2742868"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2600577"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.810758"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.851275"},{"key":"ref49","first-page":"2354","volume-title":"Wilcoxon Rank Sum Test","author":"Haynes","year":"2013"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CEC53210.2023.10254122"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2989465"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3017049"},{"issue":"2","key":"ref53","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.1016\/j.eswa.2009.06.028","article-title":"An evolutionary memetic algorithm for rule extraction","volume":"37","author":"Ang","year":"2010","journal-title":"Expert Syst. Appl."},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2692963"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7433297\/10765927\/10504923.pdf?arnumber=10504923","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:02:10Z","timestamp":1732665730000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10504923\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":54,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2024.3386866","relation":{},"ISSN":["2471-285X"],"issn-type":[{"type":"electronic","value":"2471-285X"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}