{"id":"https://openalex.org/W3040394052","doi":"https://doi.org/10.1145/3377930.3389817","title":"Multiobjective tree-structured parzen estimator for computationally expensive optimization problems","display_name":"Multiobjective tree-structured parzen estimator for computationally expensive optimization problems","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W3040394052","doi":"https://doi.org/10.1145/3377930.3389817","mag":"3040394052"},"language":"en","primary_location":{"id":"doi:10.1145/3377930.3389817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377930.3389817","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377930.3389817","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3377930.3389817","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020641297","display_name":"Yoshihiko Ozaki","orcid":"https://orcid.org/0000-0001-7911-4470"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yoshihiko Ozaki","raw_affiliation_strings":["AI Research Center, AIST & GREE, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research Center, AIST & GREE, Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070679258","display_name":"Yuki Tanigaki","orcid":"https://orcid.org/0000-0002-4058-4480"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Tanigaki","raw_affiliation_strings":["AI Research Center, AIST, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research Center, AIST, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062660811","display_name":"Shuhei Watanabe","orcid":"https://orcid.org/0000-0001-6611-2812"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuhei Watanabe","raw_affiliation_strings":["AI Research Center, AIST, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research Center, AIST, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031341888","display_name":"Masaki Onishi","orcid":"https://orcid.org/0000-0002-4580-4868"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Onishi","raw_affiliation_strings":["AI Research Center, AIST, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research Center, AIST, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020641297"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.6517,"has_fulltext":true,"cited_by_count":196,"citation_normalized_percentile":{"value":0.98765102,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"533","last_page":"541"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9939000010490417,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7142523527145386},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6970040202140808},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6732224822044373},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6371966004371643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6311916708946228},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5209673643112183},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4894832372665405},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4839630424976349},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.42579036951065063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21135959029197693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20344886183738708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19025534391403198}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7142523527145386},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6970040202140808},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6732224822044373},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6371966004371643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311916708946228},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5209673643112183},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4894832372665405},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4839630424976349},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.42579036951065063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21135959029197693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20344886183738708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19025534391403198},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377930.3389817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377930.3389817","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377930.3389817","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3377930.3389817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377930.3389817","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377930.3389817","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311508","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3040394052.pdf","grobid_xml":"https://content.openalex.org/works/W3040394052.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1437335841","https://openalex.org/W1510052597","https://openalex.org/W1553573873","https://openalex.org/W1608317386","https://openalex.org/W1680189815","https://openalex.org/W1846834309","https://openalex.org/W2018044188","https://openalex.org/W2038669746","https://openalex.org/W2106411961","https://openalex.org/W2108968575","https://openalex.org/W2110586983","https://openalex.org/W2111526171","https://openalex.org/W2113207845","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2343601797","https://openalex.org/W2434562129","https://openalex.org/W2546299924","https://openalex.org/W2729909848","https://openalex.org/W2764251381","https://openalex.org/W2772079570","https://openalex.org/W2776317535","https://openalex.org/W2785722638","https://openalex.org/W2785988364","https://openalex.org/W2808285930","https://openalex.org/W2949676527","https://openalex.org/W2954234207","https://openalex.org/W3138024475","https://openalex.org/W4211049957","https://openalex.org/W4237151101","https://openalex.org/W4293860453"],"related_works":["https://openalex.org/W2996366161","https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W2384474142","https://openalex.org/W3083133203","https://openalex.org/W1588199609","https://openalex.org/W2744462909","https://openalex.org/W1971520370"],"abstract_inverted_index":{"Practitioners":[0],"often":[1],"encounter":[2],"computationally":[3],"expensive":[4,61],"multiobjective":[5,29],"optimization":[6,30,63],"problems":[7,78],"to":[8,59,98],"be":[9],"solved":[10],"in":[11],"a":[12,26,36,84],"variety":[13],"of":[14,20,52,75,95],"real-world":[15],"applications.":[16],"On":[17],"the":[18,53,93],"purpose":[19],"challenging":[21],"these":[22],"problems,":[23],"we":[24,90],"propose":[25],"new":[27],"surrogate-based":[28],"algorithm":[31],"that":[32,69],"does":[33],"not":[34],"require":[35],"large":[37],"evaluation":[38],"budget.":[39,86],"It":[40],"is":[41,49],"called":[42],"Multiobjective":[43],"Tree-structured":[44],"Parzen":[45,55],"Estimator":[46],"(MOTPE)":[47],"and":[48],"an":[50],"extension":[51],"tree-structured":[54],"estimator":[56],"widely":[57],"used":[58],"solve":[60],"single-objective":[62],"problems.":[64],"Our":[65],"empirical":[66],"evidences":[67],"reveal":[68],"MOTPE":[70,96],"can":[71],"approximate":[72],"Pareto":[73],"fronts":[74],"many":[76],"benchmark":[77],"better":[79],"than":[80],"existing":[81],"methods":[82],"with":[83],"limited":[85],"In":[87],"this":[88],"paper,":[89],"discuss":[91],"furthermore":[92],"influence":[94],"configurations":[97],"understand":[99],"its":[100],"behavior.":[101]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":54},{"year":2024,"cited_by_count":43},{"year":2023,"cited_by_count":43},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}