{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T20:20:07Z","timestamp":1783023607371,"version":"3.54.6"},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012576","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012576","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.ins.2026.123814","type":"journal-article","created":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T15:05:37Z","timestamp":1782572737000},"page":"123814","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Evolutionary multi-objective multi-task optimization via cross-task manifold diffusion and joint density estimation"],"prefix":"10.1016","volume":"756","author":[{"given":"Rui","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yutao","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zichao","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoliang","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haibin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.ins.2026.123814_bib0005","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1109\/TEVC.2021.3139437","article-title":"A review on evolutionary multitask optimization: trends and challenges","volume":"26","author":"Wei","year":"2022","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"10.1016\/j.ins.2026.123814_bib0010","doi-asserted-by":"crossref","first-page":"2367","DOI":"10.1109\/TSMC.2024.3520526","article-title":"Multiobjective multitask optimization via diversity- and convergence-oriented knowledge transfer","volume":"55","author":"Li","year":"2025","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"1","key":"10.1016\/j.ins.2026.123814_bib0015","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1109\/TEVC.2024.3353319","article-title":"Multiobjective multitask optimization with multiple knowledge types and transfer adaptation","volume":"29","author":"Li","year":"2025","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.ins.2026.123814_bib0020","doi-asserted-by":"crossref","first-page":"1784","DOI":"10.1109\/TCYB.2020.2981733","article-title":"Cognizant multitasking in multiobjective multifactorial evolution: MO-MFEA-II","volume":"51","author":"Bali","year":"2021","journal-title":"IEEE Trans. Cybern."},{"issue":"1","key":"10.1016\/j.ins.2026.123814_bib0025","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1109\/TEVC.2023.3258491","article-title":"Multitask particle swarm optimization with heterogeneous domain adaptation","volume":"28","author":"Han","year":"2024","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"10.1016\/j.ins.2026.123814_bib0030","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1007\/s12559-022-10012-8","article-title":"Evolutionary multitask optimization: a methodological overview, challenges, and future research directions","volume":"14","author":"Osaba","year":"2022","journal-title":"Cogn. Comput."},{"issue":"3","key":"10.1016\/j.ins.2026.123814_bib0035","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1109\/TEVC.2015.2458037","article-title":"Multifactorial evolution: toward evolutionary multitasking","volume":"20","author":"Gupta","year":"2016","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"10.1016\/j.ins.2026.123814_bib0040","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1109\/TEVC.2019.2906927","article-title":"Multifactorial evolutionary algorithm with online transfer parameter estimation: MFEA-II","volume":"24","author":"Bali","year":"2020","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"9","key":"10.1016\/j.ins.2026.123814_bib0045","doi-asserted-by":"crossref","first-page":"3457","DOI":"10.1109\/TCYB.2018.2845361","article-title":"Evolutionary multitasking via explicit autoencoding","volume":"49","author":"Feng","year":"2019","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.ins.2026.123814_bib0050","unstructured":"Y. Li, W. Gong, S. Li, Multitasking optimization via an adaptive solver multitasking evolutionary framework, Information Sciences 10.1016\/j.ins.2022.10.099, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025522012191"},{"issue":"7","key":"10.1016\/j.ins.2026.123814_bib0055","doi-asserted-by":"crossref","first-page":"4457","DOI":"10.1109\/TSMC.2021.3096220","article-title":"Multiobjective evolutionary multitasking with two-stage adaptive knowledge transfer based on population distribution","volume":"52","author":"Liang","year":"2022","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"12","key":"10.1016\/j.ins.2026.123814_bib0060","doi-asserted-by":"crossref","first-page":"4365","DOI":"10.1109\/TCYB.2018.2864345","article-title":"Curbing negative influences online for seamless transfer evolutionary optimization","volume":"49","author":"Da","year":"2019","journal-title":"IEEE Trans. Cybern."},{"issue":"10","key":"10.1016\/j.ins.2026.123814_bib0065","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","article-title":"A survey on transfer learning","volume":"22","author":"Pan","year":"2010","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.ins.2026.123814_bib0070","series-title":"The Thirteenth International Conference on Learning Representations","article-title":"Diffusion models are evolutionary algorithms","author":"Zhang","year":"2025"},{"key":"10.1016\/j.ins.2026.123814_bib0075","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","article-title":"Return of frustratingly easy domain adaptation","volume":"vol. 30","author":"Sun","year":"2016"},{"issue":"1","key":"10.1016\/j.ins.2026.123814_bib0080","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/MCI.2020.3039066","article-title":"Evolutionary transfer optimization - a new frontier in evolutionary computation research","volume":"16","author":"Tan","year":"2021","journal-title":"IEEE Comput. Intell. Mag."},{"issue":"4","key":"10.1016\/j.ins.2026.123814_bib0085","doi-asserted-by":"crossref","first-page":"818","DOI":"10.1109\/TETCI.2021.3115518","article-title":"Multiobjective multitasking optimization with subspace distribution alignment and decision variable transfer","volume":"6","author":"Gao","year":"2022","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.ins.2026.123814_bib0090","series-title":"Multi-Objective Optimization Using Evolutionary Algorithms","author":"Deb","year":"2001"},{"key":"10.1016\/j.ins.2026.123814_bib0095","series-title":"2018 IEEE Congress on Evolutionary Computation (CEC)","first-page":"1","article-title":"A fast memetic multi-objective differential evolution for multi-tasking optimization","author":"Chen","year":"2018"},{"issue":"2","key":"10.1016\/j.ins.2026.123814_bib0100","doi-asserted-by":"crossref","first-page":"1808","DOI":"10.1109\/TAES.2023.3341861","article-title":"Multiobjective variable neighborhood descent for heterogeneous multi-UAV coordinated scheduling","volume":"60","author":"Liu","year":"2024","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"issue":"9","key":"10.1016\/j.ins.2026.123814_bib0105","doi-asserted-by":"crossref","first-page":"9642","DOI":"10.1109\/TITS.2023.3267103","article-title":"Multi-objective optimization algorithm with adaptive resource allocation for truck-drone collaborative delivery and pick-up services","volume":"24","author":"Luo","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"3","key":"10.1016\/j.ins.2026.123814_bib0110","doi-asserted-by":"crossref","first-page":"4677","DOI":"10.1109\/TNNLS.2024.3371706","article-title":"Conditional neural heuristic for multiobjective vehicle routing problems","volume":"36","author":"Fan","year":"2025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.ins.2026.123814_bib0115","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.ins.2026.123814_bib0120","author":"Hartl"},{"key":"10.1016\/j.ins.2026.123814_bib0125","author":"Yan"},{"issue":"5","key":"10.1016\/j.ins.2026.123814_bib0130","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1109\/TEVC.2025.3551323","article-title":"A new prediction strategy for dynamic multiobjective optimization using diffusion model","volume":"29","author":"Wang","year":"2025","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.ins.2026.123814_bib0135","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2026.102301","article-title":"Component-level knowledge transfer based on diffusion model in evolutionary multitasking","volume":"101","author":"Wang","year":"2026","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.ins.2026.123814_bib0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2025.122770","article-title":"Effective knowledge transfer with adaptive distribution alignment and solution quality prediction in evolutionary multiobjective multitasking","volume":"729","author":"Yang","year":"2026","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2026.123814_bib0145","series-title":"Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems. Proceedings of the EUROGEN\u20192001","article-title":"SPEA2: improving the strength Pareto evolutionary algorithm for multiobjective optimization","author":"Zitzler","year":"2001"},{"issue":"2","key":"10.1016\/j.ins.2026.123814_bib0150","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multiobjective genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"10.1016\/j.ins.2026.123814_bib0155","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","article-title":"MOEA\/D: a multiobjective evolutionary algorithm based on decomposition","volume":"11","author":"Zhang","year":"2007","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"496","key":"10.1016\/j.ins.2026.123814_bib0160","doi-asserted-by":"crossref","first-page":"1602","DOI":"10.1198\/jasa.2011.tm11181","article-title":"Tweedie\u2019s formula and selection bias","volume":"106","author":"Efron","year":"2011","journal-title":"J. Am. Stat. Assoc."},{"key":"10.1016\/j.ins.2026.123814_bib0165","author":"Yuan"},{"issue":"4","key":"10.1016\/j.ins.2026.123814_bib0170","doi-asserted-by":"crossref","first-page":"2096","DOI":"10.1109\/TCYB.2020.2980888","article-title":"Evolutionary multitasking for multiobjective optimization with subspace alignment and adaptive differential evolution","volume":"52","author":"Liang","year":"2022","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.ins.2026.123814_bib0175","series-title":"Proceedings of the Genetic and Evolutionary Computation Conference, GECCO \u201924, Association for Computing Machinery","first-page":"557","article-title":"Transfer search directions among decomposed subtasks for evolutionary multitasking in multiobjective optimization","author":"Li","year":"2024"},{"key":"10.1016\/j.ins.2026.123814_bib0180","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s10710-005-6164-x","article-title":"Solving multiobjective optimization problems using an artificial immune system","volume":"6","author":"Coello","year":"2005","journal-title":"Genet. Program. Evolvable Mach."},{"key":"10.1016\/j.ins.2026.123814_bib0185","author":"Hou"},{"key":"10.1016\/j.ins.2026.123814_bib0190","unstructured":"Y. Li, W. Gong, T. Zhang, F. Ming, S. Li, Q. Gu, Y.-S. Ong, MToP: a MATLAB benchmarking platform for evolutionary multitasking, arXiv preprint arXiv:2312.08134."},{"issue":"3","key":"10.1016\/j.ins.2026.123814_bib0195","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1109\/TETCI.2019.2916051","article-title":"An adaptive archive-based evolutionary framework for many-task optimization","volume":"4","author":"Chen","year":"2020","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.ins.2026.123814_bib0200","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119568","article-title":"Adaptive multi-task evolutionary algorithm based on knowledge reuse","volume":"648","author":"Cui","year":"2023","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2026.123814_bib0205","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.108045","article-title":"Multi-objective optimal power flow with stochastic wind and solar power","volume":"114","author":"Li","year":"2022","journal-title":"Appl. Soft Comput."},{"issue":"4","key":"10.1016\/j.ins.2026.123814_bib0210","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/4235.797969","article-title":"Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach","volume":"3","author":"Zitzler","year":"1999","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526007450?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526007450?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T19:38:21Z","timestamp":1783021101000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025526007450"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":42,"alternative-id":["S0020025526007450"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2026.123814","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evolutionary multi-objective multi-task optimization via cross-task manifold diffusion and joint density estimation","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2026.123814","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"123814"}}