{"id":"https://openalex.org/W2533997953","doi":"https://doi.org/10.1109/fskd.2016.7603186","title":"Preference-based multiobjective optimization using truncated expected hypervolume improvement","display_name":"Preference-based multiobjective optimization using truncated expected hypervolume improvement","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2533997953","doi":"https://doi.org/10.1109/fskd.2016.7603186","mag":"2533997953"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2016.7603186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077564991","display_name":"Kaifeng Yang","orcid":"https://orcid.org/0000-0002-3353-3298"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Kaifeng Yang","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102712516","display_name":"Longmei Li","orcid":"https://orcid.org/0000-0002-6347-6108"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Longmei Li","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085426879","display_name":"Andr\u00e9 Deutz","orcid":"https://orcid.org/0000-0002-9047-6533"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Andre Deutz","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062646838","display_name":"Thomas B\u00e4ck","orcid":"https://orcid.org/0000-0001-6768-1478"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thomas Back","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007378438","display_name":"Michael Emmerich","orcid":"https://orcid.org/0000-0002-7342-2090"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Michael Emmerich","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077564991"],"corresponding_institution_ids":["https://openalex.org/I121797337"],"apc_list":null,"apc_paid":null,"fwci":4.704,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.95144998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"276","last_page":"281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.7662173509597778},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7487529516220093},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6005649566650391},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5978440642356873},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4781835377216339},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.47758224606513977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47490039467811584},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.4690062701702118},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45744583010673523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4506606161594391},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.443346232175827},{"id":"https://openalex.org/keywords/pareto-interpolation","display_name":"Pareto interpolation","score":0.4431355893611908},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4219995439052582},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.41620633006095886},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30657529830932617},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11802613735198975},{"id":"https://openalex.org/keywords/extreme-value-theory","display_name":"Extreme value theory","score":0.1061297357082367}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.7662173509597778},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7487529516220093},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6005649566650391},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5978440642356873},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4781835377216339},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.47758224606513977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47490039467811584},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.4690062701702118},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45744583010673523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4506606161594391},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.443346232175827},{"id":"https://openalex.org/C38814450","wikidata":"https://www.wikidata.org/wiki/Q7136870","display_name":"Pareto interpolation","level":4,"score":0.4431355893611908},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4219995439052582},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.41620633006095886},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30657529830932617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11802613735198975},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.1061297357082367},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C133514767","wikidata":"https://www.wikidata.org/wiki/Q5532448","display_name":"Generalized Pareto distribution","level":3,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2016.7603186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W146421413","https://openalex.org/W1510052597","https://openalex.org/W1555080919","https://openalex.org/W1558919105","https://openalex.org/W1852105378","https://openalex.org/W1947771597","https://openalex.org/W1967710068","https://openalex.org/W1988607106","https://openalex.org/W2008952656","https://openalex.org/W2021776358","https://openalex.org/W2029959045","https://openalex.org/W2045173716","https://openalex.org/W2079411085","https://openalex.org/W2090235798","https://openalex.org/W2090728190","https://openalex.org/W2108264152","https://openalex.org/W2112036188","https://openalex.org/W2131627640","https://openalex.org/W2134763491","https://openalex.org/W2135305876","https://openalex.org/W2136918060","https://openalex.org/W2157446055","https://openalex.org/W2272322821","https://openalex.org/W2548304608","https://openalex.org/W2559173494","https://openalex.org/W2744815299","https://openalex.org/W3099242408","https://openalex.org/W6647345402","https://openalex.org/W6730414179"],"related_works":["https://openalex.org/W3089681648","https://openalex.org/W4240829493","https://openalex.org/W3130787283","https://openalex.org/W3133591683","https://openalex.org/W2333837981","https://openalex.org/W2058192020","https://openalex.org/W2006511703","https://openalex.org/W1566668793","https://openalex.org/W2090178682","https://openalex.org/W2969026648"],"abstract_inverted_index":{"The":[0],"ultimate":[1],"goal":[2],"of":[3,30,66,72,129,151,173,180],"multi-objective":[4],"optimization":[5,52],"is":[6,21,54,161],"to":[7,11,62,99,125],"provide":[8],"potential":[9],"solutions":[10],"a":[12,22,38,43,64,111,118,127,157],"decision":[13],"maker.":[14],"Usually,":[15],"what":[16],"they":[17],"are":[18,175],"concerned":[19],"with":[20],"Pareto":[23,33,45,133],"front":[24,134],"in":[25,92,108],"an":[26,81],"interesting/preferred":[27],"region,":[28],"instead":[29],"the":[31,67,93,104,132,146,152,178,181],"whole":[32],"front.":[34],"In":[35],"this":[36,140],"paper,":[37],"method":[39,120],"for":[40,145,154,170],"effectively":[41,138],"approximating":[42],"preferred":[44,141],"front,":[46],"based":[47],"on":[48,131,139,166],"multiobjective":[49],"efficient":[50,149],"global":[51],"(EGO),":[53],"introduced.":[55],"EGO":[56,73],"uses":[57,74],"Gaussian":[58],"processes":[59],"(or":[60],"Kriging)":[61],"build":[63],"model":[65],"objective":[68,94],"function.":[69],"Our":[70],"variant":[71],"truncated":[75,112],"expected":[76,100],"hypervolume":[77,101],"improvement":[78,102],"(TEHVI)":[79],"as":[80],"infill":[82],"criterion,":[83],"which":[84],"takes":[85],"predictive":[86],"mean,":[87],"variance":[88],"and":[89,135,148,163],"preference":[90],"region":[91,128],"space":[95],"into":[96],"consideration.":[97],"Compared":[98],"(EHVI),":[103],"probability":[105],"density":[106],"function":[107],"TEHVI":[109,119,153],"follows":[110],"normal":[113],"distribution.":[114],"This":[115],"paper":[116],"proposes":[117],"that":[121],"makes":[122],"it":[123],"possible":[124],"set":[126],"interest":[130],"focus":[136],"search":[137],"region.":[142],"An":[143],"expression":[144],"exact":[147],"computation":[150],"truncation":[155],"over":[156],"two":[158],"dimensional":[159],"range":[160],"derived,":[162],"benchmark":[164],"results":[165],"standard":[167],"bi-objective":[168],"problems":[169],"small":[171],"budget":[172],"evaluations":[174],"computed,":[176],"confirming":[177],"effectiveness":[179],"new":[182],"approach.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}