{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T06:55:19Z","timestamp":1783234519737,"version":"3.54.6"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100019693","name":"Data Science and Artificial Intelligence Research Center (DSAIR), School of Computer Science and Engineering at Nanyang Technological University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019693","id-type":"DOI","asserted-by":"publisher"}]},{"name":"A*STAR AI3 Seed","award":["C211118016"],"award-info":[{"award-number":["C211118016"]}]},{"name":"A*STAR Cyber-Physical Production System (CPPS)\u2014Towards Contextual and Intelligent Response Research Program through RIE2020 IAFPP","award":["A19C1a0018"],"award-info":[{"award-number":["A19C1a0018"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62206313"],"award-info":[{"award-number":["62206313"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tcyb.2022.3214825","type":"journal-article","created":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T20:39:52Z","timestamp":1668026392000},"page":"1294-1307","source":"Crossref","is-referenced-by-count":12,"title":["Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach"],"prefix":"10.1109","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3743-5254","authenticated-orcid":false,"given":"Zefeng","family":"Chen","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Sun Yat-sen University, Zhuhai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6080-855X","authenticated-orcid":false,"given":"Abhishek","family":"Gupta","sequence":"additional","affiliation":[{"name":"Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, and the School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5294-9299","authenticated-orcid":false,"given":"Lei","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4480-169X","authenticated-orcid":false,"given":"Yew-Soon","family":"Ong","sequence":"additional","affiliation":[{"name":"Data Science and Artificial Intelligence Research Centre, School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2307\/254267"},{"key":"ref2","volume-title":"Stochastic Models in Operations Research Volume II: Stochastic Optimization","author":"Heyman","year":"2003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1615\/Int.J.UncertaintyQuantification.2018021315"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011658"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3015756"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3099289"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s12293-022-00354-z"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3185554"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106622"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10359-2"},{"key":"ref11","first-page":"525","article-title":"Multi-task learning as multi-objective optimization","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Sener"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/molecules26237254"},{"key":"ref13","article-title":"Efficient multi-objective neural architecture search via lamarckian evolution","volume-title":"arXiv:1804.09081","author":"Elsken","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321729"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3104866"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3174519"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2014.2350953"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/BF00932614"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3032240"},{"key":"ref21","article-title":"SPEA2: Improving the strength Pareto evolutionary algorithm","author":"Zitzler","year":"2001"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.892759"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2016.7737876"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.06.039"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-018-9613-6"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.08.021"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97598-6_6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-020-01156-w"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.338"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281513"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.12.001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-016-9395-7"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2458037"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2554622"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3139437"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2022.3155332"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2869001"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.05.001"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-10701-6_2"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.851274"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2033671"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2622301"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2262111"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2675628"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2463372.2465805"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2005.1555050"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00667"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45823-6_7"},{"key":"ref49","first-page":"1593","article-title":"Hierarchical Bayesian matrix factorization with side information","volume-title":"Proc. 23rd Int. Joint Conf. Artif. Intell.","author":"Park"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2769104"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s12293-021-00331-y"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3050516"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3119933"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3042243"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3100056"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.09.058"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2021.3108310"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1162\/evco.2006.14.4.463"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-016-1619-7"},{"key":"ref60","doi-asserted-by":"crossref","DOI":"10.1137\/1.9781611973433","volume-title":"Lectures on Stochastic Programming: Modeling and Theory","author":"Shapiro","year":"2014"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2002.1007032"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/4235.797969"},{"key":"ref63","first-page":"115","article-title":"Simulated binary crossover for continuous search space","volume":"9","author":"Deb","year":"1995","journal-title":"Complex Syst."},{"issue":"4","key":"ref64","first-page":"30","article-title":"A combined genetic adaptive search (GeneAS) for engineering design","volume":"26","author":"Deb","year":"1999","journal-title":"Comput. Sci. Inform."},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623496307510"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1355"},{"key":"ref67","article-title":"Carbontracker: Tracking and predicting the carbon footprint of training deep learning models","volume-title":"arXiv:2007.03051","author":"Anthony","year":"2020"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2019.2928344"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5529-2_5"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.39"},{"key":"ref71","article-title":"Adam: A method for stochastic optimization","volume-title":"arXiv:1412.6980","author":"Kingma","year":"2014"},{"key":"ref72","article-title":"CMA-ES for hyperparameter optimization of deep neural networks","volume-title":"arXiv:1604.07269","author":"Loshchilov","year":"2016"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-09823-4_34"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/10402573\/09943989.pdf?arnumber=9943989","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T18:26:34Z","timestamp":1705688794000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9943989\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":73,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2022.3214825","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}