{"id":"https://openalex.org/W3179899490","doi":"https://doi.org/10.1145/3449726.3462731","title":"Reducing bias in multi-objective optimization benchmarking","display_name":"Reducing bias in multi-objective optimization benchmarking","publication_year":2021,"publication_date":"2021-07-07","ids":{"openalex":"https://openalex.org/W3179899490","doi":"https://doi.org/10.1145/3449726.3462731","mag":"3179899490"},"language":"en","primary_location":{"id":"doi:10.1145/3449726.3462731","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3449726.3462731","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3449726.3462731&file=p27-eftimov_suppl.pdf","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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 Companion","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3449726.3462731&file=p27-eftimov_suppl.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082115266","display_name":"Tome Eftimov","orcid":"https://orcid.org/0000-0001-7330-1902"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Tome Eftimov","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043114412","display_name":"Peter Koro\u0161ec","orcid":"https://orcid.org/0000-0003-4492-4603"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Peter Koro\u0161ec","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3006985408"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9818999767303467,"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":0.9764000177383423,"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/benchmarking","display_name":"Benchmarking","score":0.8902264833450317},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.734490156173706},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7239735722541809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7012059688568115},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6208218932151794},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5589545965194702},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5569538474082947},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5405184030532837},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5318222641944885},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43983665108680725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4310861825942993},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4139552712440491},{"id":"https://openalex.org/keywords/selection-bias","display_name":"Selection bias","score":0.41206058859825134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33684873580932617},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2682077884674072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1892850697040558}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8902264833450317},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.734490156173706},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7239735722541809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7012059688568115},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6208218932151794},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5589545965194702},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5569538474082947},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5405184030532837},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5318222641944885},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43983665108680725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4310861825942993},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4139552712440491},{"id":"https://openalex.org/C40423286","wikidata":"https://www.wikidata.org/wiki/Q284172","display_name":"Selection bias","level":2,"score":0.41206058859825134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33684873580932617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2682077884674072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1892850697040558},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3449726.3462731","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3449726.3462731","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3449726.3462731&file=p27-eftimov_suppl.pdf","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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 Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3449726.3462731","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3449726.3462731","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3449726.3462731&file=p27-eftimov_suppl.pdf","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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 Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2395551205","display_name":"Mr-BEC: Modern approaches for Benchmarking in Evolutionary Computation","funder_award_id":"Z2-1867","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G4141766493","display_name":null,"funder_award_id":"No. P2-0098","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G791504897","display_name":"Computer Structures and Systems","funder_award_id":"P2-0098","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"}],"funders":[{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3179899490.pdf","grobid_xml":"https://content.openalex.org/works/W3179899490.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1500356961","https://openalex.org/W1925475796","https://openalex.org/W2207649084","https://openalex.org/W2490100667","https://openalex.org/W2787801508","https://openalex.org/W3026815491","https://openalex.org/W3118030509"],"related_works":["https://openalex.org/W1976617664","https://openalex.org/W2360211656","https://openalex.org/W2137381353","https://openalex.org/W2778832510","https://openalex.org/W2803239569","https://openalex.org/W137670899","https://openalex.org/W3004397819","https://openalex.org/W2898469641","https://openalex.org/W2348568752","https://openalex.org/W3213030203"],"abstract_inverted_index":{"The":[0,116],"performance":[1,19,81],"assessment":[2],"of":[3,11,47,74,106,118,130],"multi-objective":[4],"optimization":[5],"algorithms":[6],"involves":[7],"a":[8,12,18,33,53,89,119],"user-preference-based":[9],"selection":[10,46,100,117,149],"single":[13,22],"quality":[14,23,49,68,120],"indicator":[15,24,50,121],"used":[16],"as":[17],"measure.":[20],"A":[21],"maps":[25],"the":[26,45,48,57,75,95,98,103,131,143,147],"approximation":[27,132],"set":[28],"(i.e.,":[29],"high-dimensional":[30,104,128],"data)":[31],"into":[32],"real":[34],"value":[35],"(i.e,":[36],"one-dimensional":[37],"data).":[38],"However,":[39],"it":[40],"is":[41,122],"well":[42],"known":[43],"that":[44,70,93,142],"can":[51],"have":[52],"huge":[54],"impact":[55],"on":[56],"benchmarking":[58],"conclusions.":[59],"This":[60],"invites":[61],"researchers":[62],"to":[63],"present":[64],"only":[65,123],"results":[66,140],"for":[67],"indicators":[69],"are":[71,150],"in":[72,97,125],"favor":[73],"desired":[76],"algorithm,":[77],"or":[78],"performing":[79,136],"bias":[80,96],"assessment.":[82],"To":[83],"go":[84],"beyond":[85],"this,":[86],"we":[87],"proposed":[88],"novel":[90],"ranking":[91],"scheme":[92],"reduces":[94],"user-preference":[99,148],"by":[101,146],"comparing":[102],"data":[105],"approximations":[107],"sets":[108,133],"and":[109],"consequently":[110],"provides":[111],"more":[112],"robust":[113],"statistical":[114],"results.":[115],"required":[124],"cases":[126,144],"when":[127],"distributions":[129],"differ.":[134],"By":[135],"such":[137],"analyses,":[138],"experimental":[139],"show":[141],"affected":[145],"reduced.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
