{"id":"https://openalex.org/W3182627881","doi":"https://doi.org/10.1145/3449726.3463299","title":"Robust benchmarking for multi-objective optimization","display_name":"Robust benchmarking for multi-objective optimization","publication_year":2021,"publication_date":"2021-07-07","ids":{"openalex":"https://openalex.org/W3182627881","doi":"https://doi.org/10.1145/3449726.3463299","mag":"3182627881"},"language":"en","primary_location":{"id":"doi:10.1145/3449726.3463299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449726.3463299","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"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":false,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9897000193595886,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9836000204086304,"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/benchmarking","display_name":"Benchmarking","score":0.8394711017608643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406635880470276},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6803678274154663},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6267967820167542},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6012435555458069},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49650007486343384},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4853426516056061},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.462191641330719},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.43209266662597656},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42951279878616333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32482701539993286},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17252948880195618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14313891530036926},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10304680466651917}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8394711017608643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406635880470276},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6803678274154663},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6267967820167542},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6012435555458069},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49650007486343384},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4853426516056061},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.462191641330719},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.43209266662597656},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42951279878616333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32482701539993286},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17252948880195618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14313891530036926},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10304680466651917},{"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3449726.3463299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449726.3463299","pdf_url":null,"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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2735671596","https://openalex.org/W2787801508","https://openalex.org/W2802539281","https://openalex.org/W2992079410","https://openalex.org/W2995695017","https://openalex.org/W3026815491","https://openalex.org/W3118030509","https://openalex.org/W3153176659"],"related_works":["https://openalex.org/W13936193","https://openalex.org/W12199117","https://openalex.org/W11544926","https://openalex.org/W7047622","https://openalex.org/W9820589","https://openalex.org/W9541822","https://openalex.org/W4921323","https://openalex.org/W1100625","https://openalex.org/W9142383","https://openalex.org/W10073440"],"abstract_inverted_index":{"The":[0,131],"performance":[1],"assessment":[2],"of":[3,55,72,104,116,128,148],"multi-objective":[4,92],"optimization":[5],"algorithms":[6],"is":[7],"a":[8,52,65,145],"crucial":[9],"task":[10],"for":[11,91,138],"investigating":[12],"their":[13],"behaviour.":[14],"However,":[15],"the":[16,32,59,84,96,113,117,122,126],"selected":[17],"quality":[18,36,48,67,73,78,105,129],"indicators":[19,74,106],"and":[20,107,120,141,153],"statistical":[21,151],"techniques":[22],"used":[23],"in":[24,125],"comparison":[25],"studies":[26],"can":[27],"have":[28],"huge":[29],"impact":[30],"on":[31],"study":[33],"results.":[34],"A":[35],"indicator":[37,68],"transforms":[38],"high-dimensional":[39,56,114],"data":[40,46],"(an":[41],"approximation":[42,118],"set)":[43],"into":[44],"one-dimensional":[45],"(a":[47],"indicator),":[49],"followed":[50],"by":[51,83],"potential":[53],"loss":[54],"information":[57],"concerning":[58],"transformation.":[60],"Comparison":[61],"approaches":[62,100,132],"typically":[63],"involve":[64],"single":[66],"or":[69],"an":[70,149],"ensemble":[71],"to":[75],"address":[76],"more":[77,88],"criteria,":[79],"which":[80],"are":[81,102,133],"predefined":[82],"user.":[85],"To":[86],"provide":[87],"robust":[89,139],"benchmarking":[90],"optimization,":[93],"we":[94],"extended":[95],"DSCTool":[97],"with":[98],"three":[99],"that":[101,111],"ensembles":[103],"one":[108],"novel":[109],"approach":[110],"compare":[112],"distributions":[115],"sets":[119],"reduces":[121],"users'":[123],"preference":[124],"selection":[127,147],"indicators.":[130],"provided":[134],"as":[135],"web":[136],"services":[137],"ranking":[140],"hypothesis":[142],"testing,":[143],"including":[144],"proper":[146],"omnibus":[150],"test":[152],"post-hoc":[154],"tests":[155],"if":[156],"needed.":[157]},"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"}