{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T22:58:17Z","timestamp":1784674697214,"version":"3.55.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176094"],"award-info":[{"award-number":["62176094"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Natural Science Foundation Research Team","doi-asserted-by":"publisher","award":["2018B030312003"],"award-info":[{"award-number":["2018B030312003"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2022H1D3A2A01093478"],"award-info":[{"award-number":["2022H1D3A2A01093478"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/tcyb.2023.3234969","type":"journal-article","created":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T18:41:17Z","timestamp":1675881677000},"page":"7295-7308","source":"Crossref","is-referenced-by-count":50,"title":["Transferable Adaptive Differential Evolution for Many-Task Optimization"],"prefix":"10.1109","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4312-2521","authenticated-orcid":false,"given":"Sheng-Hao","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0862-0514","authenticated-orcid":false,"given":"Zhi-Hui","family":"Zhan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"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, Hung Hom, Hong Kong SAR"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7835-9871","authenticated-orcid":false,"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang Normal University, Jinhua, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3051608"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2021.1004129"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2974100"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003462"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3211643"},{"key":"ref52","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2875430"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3050645"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2458037"},{"key":"ref16","article-title":"Orthogonal transfer for multitask optimization","author":"wu","year":"2022","journal-title":"IEEE Trans Evol Comput"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2906927"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3131236"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1961.10482090"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.02.002"},{"key":"ref46","first-page":"2461","article-title":"Distance dependent Chinese restaurant processes","volume":"12","author":"blei","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017616"},{"key":"ref48","author":"feng","year":"2020","journal-title":"GECCO2020 Competition on Evolutionary Multi-task Optimization"},{"key":"ref47","author":"feng","year":"2019","journal-title":"IEEE CEC 2019 Competition on Evolutionary Multi-Task Optimization"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2016.2597826"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2308294"},{"key":"ref44","first-page":"7324","article-title":"Making convolutional networks shift-invariant again","author":"zhang","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2014613"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2013.6557759"},{"key":"ref8","article-title":"Objective space-based population generation to accelerate evolutionary algorithms for large-scale many-objective optimization","author":"deng","year":"2022","journal-title":"IEEE Trans Evol Comput"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.3047410"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2638902"},{"key":"ref4","article-title":"Predicting demands of COVID-19 prevention and control materials via co-evolutionary transfer learning","author":"song","year":"2022","journal-title":"IEEE Trans Cybern"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2920887"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10042-y"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10230-4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2022.3155330"},{"key":"ref35","article-title":"Gene targeting differential evolution: A simple and efficient method for large scale optimization","author":"wang","year":"2022","journal-title":"IEEE Trans Evol Comput"},{"key":"ref34","article-title":"Dual differential grouping: A more general decomposition method for large-scale optimization","author":"li","year":"2022","journal-title":"IEEE Trans Cybern"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2769108"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2944180"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2019.2945775"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3101697"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2536167"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2944873"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2769104"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2020.3039066"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2021.1004284"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3082200"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2017.7969579"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2980888"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390203"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2019.2916051"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2955599"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2019.8790143"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3083362"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3068157"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107441"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3107435"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/10286986\/10040733.pdf?arnumber=10040733","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:40:59Z","timestamp":1699299659000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10040733\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":53,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2023.3234969","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}