{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T11:28:59Z","timestamp":1776338939539,"version":"3.51.2"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2015,12,1]],"date-time":"2015-12-01T00:00:00Z","timestamp":1448928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"Honda Research Institute Europe"},{"name":"Joint Research Fund for Overseas Chinese, Hong Kong and Macao Scholars of the National Natural Science Foundation of China","award":["61428302"],"award-info":[{"award-number":["61428302"]}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/M017869\/1"],"award-info":[{"award-number":["EP\/M017869\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Evol. Computat."],"published-print":{"date-parts":[[2015,12]]},"DOI":"10.1109\/tevc.2015.2395073","type":"journal-article","created":{"date-parts":[[2015,1,23]],"date-time":"2015-01-23T16:53:07Z","timestamp":1422031987000},"page":"838-856","source":"Crossref","is-referenced-by-count":355,"title":["A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling"],"prefix":"10.1109","volume":"19","author":[{"given":"Ran","family":"Cheng","sequence":"first","affiliation":[]},{"given":"Yaochu","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Kaname","family":"Narukawa","sequence":"additional","affiliation":[]},{"given":"Bernhard","family":"Sendhoff","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2012.2201338"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008202821328"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.06.007"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2209115"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6940-7_15"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281534"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2012.2196800"},{"key":"ref39","first-page":"663","article-title":"Multi-objective mixture-based iterated density estimation evolutionary algorithms","author":"thierens","year":"2001","journal-title":"Proc Genet Evol Comput Conf"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1057\/jors.2013.71"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2004.1331086"},{"key":"ref78","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/978-3-642-37140-0_25","article-title":"An improved adaptive approach for elitist nondominated sorting genetic algorithm for many-objective optimization","author":"jain","year":"2013","journal-title":"Proc Evol Multi-Criterion Optim (EMO)"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2008.4631121"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/978-3-540-34954-9_10","article-title":"Multiobjective estimation of distribution algorithms","author":"pelikan","year":"2006","journal-title":"Scalable Optimization Via Probabilistic Modeling"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-1539-5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36970-8_9"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(01)00104-7"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2241768"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1569901.1569987"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1007\/3-540-36970-8_20","article-title":"MOPED: A multi-objective parzen-based estimation of distribution algorithm for continuous problems","author":"costa","year":"2003","journal-title":"Proc Evol Multi-Criterion Optim (EMO)"},{"key":"ref34","article-title":"On current model-building methods for multi-objective estimation of distribution algorithms: Shortcommings and directions for improvement","author":"mart\u00ed","year":"2010"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2275918"},{"key":"ref62","author":"deb","year":"2001","journal-title":"Multi-Objective Optimization Using Evolutionary Algorithms"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2012.6252954"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.06.008"},{"key":"ref28","first-page":"1910","article-title":"Connectedness, regularity and the success of local search in evolutionary multi-objective optimization","volume":"3","author":"jin","year":"2003","journal-title":"Proc IEEE Congr Evol Comput"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2008.925798"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/978-3-642-04045-0_27","article-title":"Faster hypervolume-based search using Monte Carlo sampling","author":"bader","year":"2010","journal-title":"Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.861417"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568202"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36970-8_31"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2002.1007032"},{"key":"ref68","first-page":"2568","article-title":"A model-based evolutionary algorithm for bi-objective optimization","volume":"3","author":"zhou","year":"2005","journal-title":"Proc IEEE Congr Evol Comput"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.08.027"},{"key":"ref2","first-page":"93","article-title":"Multiple objective optimization with vector evaluated genetic algorithms","author":"schaffer","year":"1985","journal-title":"Proc 7th Int Conf Genetic Algorithms"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.03.001"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1007\/BFb0056872","article-title":"Multiobjective optimization using evolutionary algorithms—A comparative case study","author":"zitzler","year":"1998","journal-title":"Parallel Problem Solving from Nature (PPSN V)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2007.4424730"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.08.008"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70928-2_64"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1830483.1830578"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2077298"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2015575"},{"key":"ref50","author":"rasmussen","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TEVC.2011.2112662","article-title":"Cooperatively coevolving particle swarms for large scale optimization","volume":"16","author":"li","year":"2012","journal-title":"IEEE Trans Evol Comput"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.846356"},{"key":"ref58","article-title":"Flexible and efficient Gaussian process models for machine learning","author":"snelson","year":"2007"},{"key":"ref57","author":"cornell","year":"2011","journal-title":"Experiments with Mixtures Designs Models and the Analysis of Mixture Data"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281533"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-003-0328-5"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2248012"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.05.001"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2008.02.017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2353672"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1994.2.3.221"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-31880-4_30"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICEC.1994.350037"},{"key":"ref13","first-page":"416","article-title":"Genetic algorithms for multiobjective optimization: Formulation discussion and generalization","volume":"93","author":"fonseca","year":"1993","journal-title":"Proc 7th Int Conf Genetic Algorithms"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/4235.797969"},{"key":"ref16","first-page":"95","article-title":"SPEA2: Improving the strength Pareto evolutionary algorithm","author":"zitzler","year":"2002","journal-title":"Evolutionary Methods for Design Optimization and Control"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1007\/3-540-45356-3_82","article-title":"The Pareto envelope-based selection algorithm for multiobjective optimization","author":"corne","year":"2000","journal-title":"Parallel Problem Solving from Nature PPSN VI"},{"key":"ref18","first-page":"283","article-title":"PESA-II: Region-based selection in evolutionary multiobjective optimization","author":"corne","year":"2001","journal-title":"Proc Genet Evol Comput Conf"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1007\/978-3-540-30217-9_84","article-title":"Indicator-based selection in multiobjective search","author":"zitzler","year":"2004","journal-title":"Parallel Problem Solving from Nature-PPSN VIII"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2012.2227326"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1007\/3-540-44719-9_7","article-title":"Adapting weighted aggregation for multiobjective evolution strategies","author":"jin","year":"2001","journal-title":"Proc Evol Multi-Criterion Optim (EMO)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/5326.704576"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1007\/3-540-44719-9_6","article-title":"Specification of genetic search directions in cellular multi-objective genetic algorithms","author":"murata","year":"2001","journal-title":"Proc Evol Multi-Criterion Optim (EMO)"},{"key":"ref5","first-page":"1042","article-title":"Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how?","author":"jin","year":"2001","journal-title":"Proc Genet Evol Comput Conf"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2051446"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.892759"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00128"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41278-3_67"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.894202"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10957-004-6468-7"},{"key":"ref48","article-title":"Increasing the density of available Pareto optimal solutions","author":"giagkiozis","year":"2012"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.7.1493"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.11.049"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281524"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.810761"},{"key":"ref43","first-page":"247","article-title":"On the dynamics of evolutionary multi-objective optimization","author":"okabe","year":"2002","journal-title":"Proc Genet Evol Comput Conf"}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4235\/7337505\/07018980.pdf?arnumber=7018980","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:46:47Z","timestamp":1641988007000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7018980\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12]]},"references-count":80,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2015.2395073","relation":{},"ISSN":["1089-778X","1089-778X","1941-0026"],"issn-type":[{"value":"1089-778X","type":"print"},{"value":"1089-778X","type":"print"},{"value":"1941-0026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,12]]}}}