{"id":"https://openalex.org/W2953460162","doi":"https://doi.org/10.1145/3321707.3321784","title":"A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization","display_name":"A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization","publication_year":2019,"publication_date":"2019-07-03","ids":{"openalex":"https://openalex.org/W2953460162","doi":"https://doi.org/10.1145/3321707.3321784","mag":"2953460162"},"language":"en","primary_location":{"id":"doi:10.1145/3321707.3321784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321784","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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":false,"raw_author_name":"Kaifeng Yang","raw_affiliation_strings":["Leiden University, Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013971191","display_name":"Pramudita Satria Palar","orcid":"https://orcid.org/0000-0002-7066-0763"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Pramudita Satria Palar","raw_affiliation_strings":["Institut Teknologi Bandung, Bandung, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Bandung, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","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 University, Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065411208","display_name":"Koji Shimoyama","orcid":"https://orcid.org/0000-0001-8896-7707"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koji Shimoyama","raw_affiliation_strings":["Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","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 B\u00e4ck","raw_affiliation_strings":["Leiden University, Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"656","last_page":"663"},"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7103020548820496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6814740896224976},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6058833003044128},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5723787546157837},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4988062381744385},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.49442553520202637},{"id":"https://openalex.org/keywords/airfoil","display_name":"Airfoil","score":0.49282482266426086},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4377460479736328},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.41309189796447754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4027074873447418},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22644737362861633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16604533791542053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15813854336738586}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7103020548820496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6814740896224976},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6058833003044128},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5723787546157837},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4988062381744385},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.49442553520202637},{"id":"https://openalex.org/C112124176","wikidata":"https://www.wikidata.org/wiki/Q4698744","display_name":"Airfoil","level":2,"score":0.49282482266426086},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4377460479736328},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.41309189796447754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4027074873447418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22644737362861633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16604533791542053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15813854336738586},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3321707.3321784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321784","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":30,"referenced_works":["https://openalex.org/W135104305","https://openalex.org/W1503296932","https://openalex.org/W1510052597","https://openalex.org/W1525375343","https://openalex.org/W1584066809","https://openalex.org/W1947771597","https://openalex.org/W2024991751","https://openalex.org/W2038669746","https://openalex.org/W2073583081","https://openalex.org/W2097263684","https://openalex.org/W2105245738","https://openalex.org/W2112036188","https://openalex.org/W2115894406","https://openalex.org/W2125899728","https://openalex.org/W2136918060","https://openalex.org/W2192203593","https://openalex.org/W2272322821","https://openalex.org/W2302560253","https://openalex.org/W2332048260","https://openalex.org/W2409689189","https://openalex.org/W2476951382","https://openalex.org/W2533997953","https://openalex.org/W2559173494","https://openalex.org/W2589080402","https://openalex.org/W2605726844","https://openalex.org/W2781580213","https://openalex.org/W2885225402","https://openalex.org/W2898416733","https://openalex.org/W4237151101","https://openalex.org/W4293860453"],"related_works":["https://openalex.org/W1912407818","https://openalex.org/W1564882210","https://openalex.org/W2113390765","https://openalex.org/W3210836806","https://openalex.org/W2116307597","https://openalex.org/W2607353083","https://openalex.org/W4391577352","https://openalex.org/W838937606","https://openalex.org/W4210712489","https://openalex.org/W4401858220"],"abstract_inverted_index":{"The":[0,59,123],"technique":[1,105,152],"of":[2,10,27,41,54,95],"parallelization":[3,151],"is":[4,16,62],"a":[5,38,112,117],"trend":[6],"in":[7,79],"the":[8,32,42,52,55,65,76,85,88,93,96,129,135,140,145],"field":[9],"Bayesian":[11],"global":[12],"optimization":[13,121],"(BGO)":[14],"and":[15,29,72,99,111],"important":[17],"for":[18,47,75,153],"real-world":[19,113],"applications":[20],"because":[21],"it":[22],"can":[23],"make":[24],"full":[25],"use":[26],"CPUs":[28],"speed":[30],"up":[31],"execution":[33],"times.":[34],"This":[35],"paper":[36],"proposes":[37],"multi-point":[39],"mechanism":[40],"expected":[43],"hypervolume":[44,141],"improvement":[45],"(EHVI)":[46],"multi-objective":[48,119],"BGO":[49],"(MOBGO)":[50],"by":[51,83],"utilization":[53],"truncated":[56],"EHVI":[57],"(TEHVI).":[58],"basic":[60],"idea":[61],"to":[63,139],"divide":[64],"objective":[66],"space":[67,82],"into":[68],"several":[69],"sub-objective":[70,81],"spaces":[71],"then":[73],"search":[74],"optimal":[77],"solutions":[78],"each":[80],"using":[84],"TEHVI":[86],"as":[87],"infill":[89],"criterion.":[90],"We":[91],"studied":[92],"performance":[94],"proposed":[97,130,146],"algorithm":[98,131],"performed":[100],"comparisons":[101],"with":[102,137],"Kriging":[103],"believer":[104],"(KB)":[106],"on":[107],"five":[108],"scientific":[109],"benchmarks":[110],"application":[114],"problem":[115],"(i.e.,":[116],"low-fidelity":[118],"airfoil":[120],"design).":[122],"stochastic":[124],"experimental":[125],"results":[126],"show":[127],"that":[128,144],"performs":[132],"better":[133],"than":[134],"KB":[136],"respect":[138],"indicator,":[142],"indicating":[143],"method":[147],"provides":[148],"an":[149],"efficient":[150],"MOBGO.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
