{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T07:16:23Z","timestamp":1779002183641,"version":"3.51.4"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"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":["61673328"],"award-info":[{"award-number":["61673328"]}],"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":["61876162"],"award-info":[{"award-number":["61876162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Collaborative Project Fund of Fuzhou\u2013Xiamen\u2013Quanzhou Innovation Demonstration Zone","award":["3502ZCQXT202001"],"award-info":[{"award-number":["3502ZCQXT202001"]}]},{"name":"Research Grants Council of Hong Kong, SAR","award":["PolyU11202418"],"award-info":[{"award-number":["PolyU11202418"]}]},{"name":"Research Grants Council of Hong Kong, SAR","award":["PolyU11209219"],"award-info":[{"award-number":["PolyU11209219"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1109\/tnnls.2021.3113158","type":"journal-article","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T21:24:51Z","timestamp":1632950691000},"page":"4631-4645","source":"Crossref","is-referenced-by-count":50,"title":["Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks"],"prefix":"10.1109","volume":"34","author":[{"given":"Zhenzhong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3982-8978","authenticated-orcid":false,"given":"Haokai","family":"Hong","sequence":"additional","affiliation":[{"name":"School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guang-En","family":"Zhang","sequence":"additional","affiliation":[{"name":"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":"School of Informatics, Xiamen University, Xiamen, 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":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.10.007"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2895748"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2395073"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref15","article-title":"A pattern mining-based evolutionary algorithm for large-scale sparse multiobjective optimization problems","author":"tian","year":"2021","journal-title":"IEEE Trans Cybern"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178838"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106120"},{"key":"ref58","first-page":"284","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume":"13","author":"radford","year":"2015","journal-title":"Comput Sci"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/18.61115"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/83.982822"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2602348"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_6"},{"key":"ref10","first-page":"115","article-title":"Simulated binary crossover for continuous search space","volume":"9","author":"deb","year":"1995","journal-title":"Complex Syst"},{"key":"ref54","article-title":"Multi-manifold optimization for multi-view subspace clustering","author":"khan","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2920887"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2979930"},{"key":"ref19","article-title":"Surrogate-assisted particle swarm optimization for evolving variable-length transferable blocks for image classification","author":"wang","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref18","article-title":"Particle swarm optimization algorithm with self-organizing mapping for Nash equilibrium strategy in application of multiobjective optimization","author":"zhao","year":"2020","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref51","first-page":"5767","article-title":"Improved training of wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460787"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2896002"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2008.02.017"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2918140"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2704782"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2600642"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2013.6557903"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72062-9_48"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2455812"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11312"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2906383"},{"key":"ref7","article-title":"A gradient-guided evolutionary approach to training deep neural networks","author":"yang","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2985081"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185798"},{"key":"ref3","first-page":"h31g","article-title":"Large-scale multi-objective optimization for the management of seawater intrusion, Santa Barbara, CA","author":"stanko","year":"2015","journal-title":"Proc AGU Fall Meeting Abstr"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00122"},{"key":"ref5","first-page":"2-1","article-title":"The application of optimisation methods to the design of large scale telecommunication networks","author":"cheney","year":"1988","journal-title":"Proc IEE Colloq Large-Scale Hierarchical Syst"},{"key":"ref40","first-page":"1","article-title":"Evolutionary large-scale multi-objective optimization: A survey","volume":"1","author":"tian","year":"2021","journal-title":"ACM Comput Surv"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00926"},{"key":"ref34","first-page":"7343","article-title":"Disconnected manifold learning for generative adversarial networks","author":"khayatkhoei","year":"2018","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2600577"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2020.3047835"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.2307\/254267"},{"key":"ref30","first-page":"246","article-title":"Nonlinear multiobjective optimization: A generalized homotopy approach","volume":"135","author":"hillermeier","year":"2001","journal-title":"J Oper Res Soc"},{"key":"ref33","article-title":"Generalized zero-shot learning with multiple graph adaptive generative networks","author":"xie","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_36"},{"key":"ref2","article-title":"Evolutionary shallowing deep neural networks at block levels","author":"zhou","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2012.2196800"},{"key":"ref39","article-title":"Evolutionary optimization of high-dimensional multiobjective and many-objective expensive problems assisted by a dropout neural network","author":"guo","year":"2021","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.894202"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2909109"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-020-0436-6"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.02.002"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2021.105400"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5723"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2869674"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.10.037"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2008.925798"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2005.846666"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/UCC-Companion.2018.00042"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2004.836244"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.810758"},{"key":"ref28","first-page":"4674","article-title":"End to end learning and optimization on graphs","author":"wilder","year":"2019","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16194-1_9"},{"key":"ref29","first-page":"1","article-title":"Differentiation of blackbox combinatorial solvers","author":"pogann?i?","year":"2019","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299173"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45356-3_83"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2017.2742868"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10208115\/09552479.pdf?arnumber=9552479","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T18:00:58Z","timestamp":1692640858000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9552479\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":67,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3113158","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8]]}}}