{"id":"https://openalex.org/W7167908800","doi":"https://doi.org/10.1145/3795095.3805084","title":"Stable Normalization for Preference-based Subset Selection with an Unbounded External Archive","display_name":"Stable Normalization for Preference-based Subset Selection with an Unbounded External Archive","publication_year":2026,"publication_date":"2026-07-10","ids":{"openalex":"https://openalex.org/W7167908800","doi":"https://doi.org/10.1145/3795095.3805084"},"language":null,"primary_location":{"id":"doi:10.1145/3795095.3805084","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795095.3805084","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3795095.3805084","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013989919","display_name":"Yuta Nakanishi","orcid":"https://orcid.org/0000-0002-3011-0679"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Nakanishi","raw_affiliation_strings":["Mitsubishi Electric Corporation, Kamakura, Japan"],"raw_orcid":"https://orcid.org/0009-0002-0219-8447","affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Corporation, Kamakura, Japan","institution_ids":["https://openalex.org/I4210133125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140394487","display_name":"Mamoru Doi","orcid":"https://orcid.org/0009-0007-9869-7668"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mamoru Doi","raw_affiliation_strings":["Mitsubishi Electric Corporation, Kamakura, Japan"],"raw_orcid":"https://orcid.org/0009-0007-9869-7668","affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Corporation, Kamakura, Japan","institution_ids":["https://openalex.org/I4210133125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103119769","display_name":"Yusuke Yasuda","orcid":"https://orcid.org/0009-0002-3392-3963"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Yasuda","raw_affiliation_strings":["Mitsubishi Electric Corporation, Kamakura, Japan"],"raw_orcid":"https://orcid.org/0009-0002-3392-3963","affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Corporation, Kamakura, Japan","institution_ids":["https://openalex.org/I4210133125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101865220","display_name":"Hiroyuki Sato","orcid":"https://orcid.org/0009-0004-4515-2240"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Sato","raw_affiliation_strings":["The University of Electro-Communications, Chofu, Japan"],"raw_orcid":"https://orcid.org/0009-0004-4515-2240","affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Chofu, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92902741,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"475","last_page":"483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9937999844551086,"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":0.9937999844551086,"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":0.0013000000035390258,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.000699999975040555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7930999994277954},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6748999953269958},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5453000068664551},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.5268999934196472},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5246000289916992},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.42480000853538513},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.37130001187324524}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7930999994277954},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6748999953269958},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5453000068664551},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.5268999934196472},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5246000289916992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5110999941825867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46549999713897705},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4221000075340271},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35420000553131104},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33970001339912415},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.2976999878883362},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3795095.3805084","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795095.3805084","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"id":"doi:10.1145/3795095.3805084","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795095.3805084","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5729913115501404,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W224959492","https://openalex.org/W1588375755","https://openalex.org/W1833634424","https://openalex.org/W1856614156","https://openalex.org/W2008499862","https://openalex.org/W2022485595","https://openalex.org/W2023658415","https://openalex.org/W2036079307","https://openalex.org/W2085507535","https://openalex.org/W2090235798","https://openalex.org/W2102365077","https://openalex.org/W2110828487","https://openalex.org/W2126105956","https://openalex.org/W2126603971","https://openalex.org/W2136386226","https://openalex.org/W2143185749","https://openalex.org/W2732724468","https://openalex.org/W2744815299","https://openalex.org/W2756578209","https://openalex.org/W2901472199","https://openalex.org/W2911842990","https://openalex.org/W2912472836","https://openalex.org/W2913670039","https://openalex.org/W2946725000","https://openalex.org/W3017214682","https://openalex.org/W3021613070","https://openalex.org/W3026407107","https://openalex.org/W3038190391","https://openalex.org/W3094394390","https://openalex.org/W3126229264","https://openalex.org/W3158941987","https://openalex.org/W3159736971","https://openalex.org/W3174242388","https://openalex.org/W4285734629","https://openalex.org/W4363672010","https://openalex.org/W4387164721","https://openalex.org/W4388595299","https://openalex.org/W4403406786"],"related_works":[],"abstract_inverted_index":{"An":[0],"unbounded":[1],"external":[2],"archive":[3],"(UA)":[4],"has":[5],"recently":[6],"been":[7],"introduced":[8],"into":[9],"preference-based":[10],"evolutionary":[11],"multi-objective":[12,35],"optimization":[13,36],"(PBEMO),":[14],"which":[15],"enables":[16],"postprocessing":[17,83,148],"to":[18,65,99,111,125],"select":[19],"solutions":[20,52],"in":[21,33,41,54,89,153],"the":[22,42,47,55,104,117,142,172],"region":[23],"of":[24,44,49],"interest":[25],"(ROI)":[26],"from":[27,103],"all":[28],"evaluated":[29],"non-dominated":[30],"solutions.":[31],"However,":[32],"scaled":[34,90,135],"problems":[37],"(scaled":[38],"MOPs),":[39],"differences":[40],"scales":[43,185],"objectives":[45],"and":[46,60,121,137,149,158,186],"presence":[48],"dominance":[50],"resistant":[51],"(DRSs)":[53],"UA":[56],"often":[57],"destabilize":[58],"normalization":[59,88],"nadir":[61,159],"point":[62,160],"estimation,":[63],"leading":[64],"degraded":[66],"ROI":[67,155],"approximation":[68],"performance":[69],"even":[70,179],"after":[71],"normalization.":[72],"To":[73],"address":[74],"this":[75],"issue,":[76],"we":[77],"propose":[78],"a":[79],"novel":[80],"reference":[81],"point-based":[82],"method":[84,93,144,168],"that":[85,141,166],"achieves":[86],"accurate":[87],"MOPs.":[91],"The":[92],"combines:":[94],"(a)":[95],"\u03b1-weighted":[96],"objective":[97,184],"transformation":[98],"remove":[100,126],"residual":[101],"DRSs":[102,150],"UA,":[105],"(b)":[106],"Pareto":[107,118],"front":[108,119,130],"modeling-based":[109],"linearization":[110,131],"reduce":[112],"shape":[113],"dependency":[114],"by":[115],"linearizing":[116],"(PF),":[120],"(c)":[122],"sigma-based":[123],"preprocessing":[124],"outliers":[127],"for":[128,180],"stable":[129],"execution.":[132],"Experiments":[133],"on":[134],"DTLZ":[136],"WFG":[138],"benchmarks":[139],"demonstrate":[140],"proposed":[143],"consistently":[145],"outperforms":[146],"existing":[147],"removal":[151],"approaches":[152],"both":[154],"solution":[156,177],"quality":[157],"estimation":[161],"accuracy.":[162],"These":[163],"results":[164],"indicate":[165],"our":[167],"can":[169],"stably":[170],"provide":[171],"decision":[173],"maker":[174],"with":[175,182],"preference-aligned":[176],"sets,":[178],"MOPs":[181],"varying":[183],"PF":[187],"shapes.":[188]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-11T00:00:00"}
