{"id":"https://openalex.org/W4411599895","doi":"https://doi.org/10.1109/cec65147.2025.11043080","title":"Outperforming the Best with Minimal Effort: Algorithm Selection for Constrained Multi-objective Optimization","display_name":"Outperforming the Best with Minimal Effort: Algorithm Selection for Constrained Multi-objective Optimization","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411599895","doi":"https://doi.org/10.1109/cec65147.2025.11043080"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11043080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","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/A5024551178","display_name":"Mustafa M\u0131s\u0131r","orcid":"https://orcid.org/0000-0002-6885-6775"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mustafa M\u0131s\u0131r","raw_affiliation_strings":["Duke Kunshan University,Division of Natural and Applied Sciences,China"],"affiliations":[{"raw_affiliation_string":"Duke Kunshan University,Division of Natural and Applied Sciences,China","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066575895","display_name":"Aldy Gunawan","orcid":"https://orcid.org/0000-0003-0697-8619"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Aldy Gunawan","raw_affiliation_strings":["Singapore Management University,School of Computing and Information Systems,Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Management University,School of Computing and Information Systems,Singapore","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024551178"],"corresponding_institution_ids":["https://openalex.org/I4210159968"],"apc_list":null,"apc_paid":null,"fwci":1.6776,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8566311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.59579998254776,"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":0.59579998254776,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6635954976081848},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.650047779083252},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5093802213668823},{"id":"https://openalex.org/keywords/constrained-optimization","display_name":"Constrained optimization","score":0.4636000692844391},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46218597888946533},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.434895783662796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2994357943534851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18633955717086792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635954976081848},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.650047779083252},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5093802213668823},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.4636000692844391},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46218597888946533},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.434895783662796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2994357943534851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18633955717086792}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11043080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","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":16,"referenced_works":["https://openalex.org/W1502328913","https://openalex.org/W1543520236","https://openalex.org/W1558919105","https://openalex.org/W2085507535","https://openalex.org/W2119464724","https://openalex.org/W2126105956","https://openalex.org/W2151554678","https://openalex.org/W2563364594","https://openalex.org/W2898873842","https://openalex.org/W2912180855","https://openalex.org/W2962947982","https://openalex.org/W2963115819","https://openalex.org/W2963649364","https://openalex.org/W3200129594","https://openalex.org/W4225683452","https://openalex.org/W4377293862"],"related_works":["https://openalex.org/W4366549320","https://openalex.org/W4287863136","https://openalex.org/W3006015132","https://openalex.org/W2965078190","https://openalex.org/W4408464351","https://openalex.org/W2140656843","https://openalex.org/W3040644038","https://openalex.org/W122341662","https://openalex.org/W2945790020","https://openalex.org/W3203633096"],"abstract_inverted_index":{"The":[0,18,39,267],"present":[1,192],"study":[2],"performs":[3],"algorithm":[4,43,114,157,178,196,202,210,239,253,274,288],"selection":[5,203,240],"on":[6,158,226,271],"a":[7,48,111,122,154,166,185,215,259],"suite":[8],"of":[9,57,98,125,145,169,262],"optimization":[10,16,74,160,230],"algorithms":[11,100,138,193],"targeting":[12],"the":[13,23,29,55,59,72,76,87,93,96,142,146,173,177,191,209,250,272,277,286],"constrained":[14,228],"multi-objective":[15,73,159,229],"problems.":[17],"idea":[19],"is":[20,47,106,115,204,223,246],"to":[21,31,81,92,108,140,206,211,248],"utilize":[22],"existing,":[24],"relevant":[25,263],"algorithmic":[26],"experience":[27],"in":[28,45,171],"literature":[30,163],"deliver":[32],"an":[33,195],"improved":[34],"solver":[35],"with":[36,54,233,254],"limited":[37,255],"effort.":[38],"reason":[40],"being":[41,116],"that":[42,95,110,135,152,244,258,283],"development,":[44],"general,":[46],"challenging":[49],"and":[50,69,176,265,276,290],"time-consuming":[51],"process,":[52],"especially":[53],"goal":[56],"outperforming":[58],"existing":[60,147,238],"methods":[61],"from":[62],"varying":[63],"perspectives":[64],"such":[65],"as":[66],"performance,":[67],"speed,":[68],"robustness.":[70],"Concerning":[71],"problems,":[75],"required":[77],"development":[78,289],"efforts":[79],"happen":[80],"be":[82,133,141,200,212],"even":[83],"harder":[84],"than":[85],"addressing":[86],"single-objective":[88],"ones.":[89,148],"Furthermore,":[90],"referring":[91],"fact":[94],"number":[97],"candidate":[99,235,273],"has":[101],"been":[102],"consistently":[103],"increasing,":[104],"it":[105,131,245],"likely":[107],"see":[109],"recently":[112],"introduced":[113],"surpassed":[117],"by":[118],"another":[119],"one":[120],"after":[121],"short":[123],"period":[124],"time":[126],"following":[127],"its":[128],"introduction.":[129],"Additionally,":[130],"should":[132],"noted":[134],"those":[136,181],"incoming":[137],"tend":[139],"modified":[143],"variants":[144],"This":[149],"aspect":[150],"suggests":[151],"developing":[153],"new":[155,186,287],"state-of-the-art":[156],"requires":[161],"extensive":[162],"knowledge":[164,264],"besides":[165],"certain":[167],"level":[168],"expertise":[170],"both":[172,270],"problem":[174,218,231,278],"domains":[175],"design.":[179],"Unlike":[180],"traditional":[182],"studies":[183],"offering":[184],"algorithm,":[187],"this":[188],"work":[189],"accommodates":[190],"under":[194],"recommendation":[197],"system.":[198],"To":[199],"specific,":[201],"incorporated":[205],"automatically":[207],"determine":[208],"applied":[213],"for":[214],"particular,":[216],"given":[217],"instance.":[219],"An":[220,237],"empirical":[221],"evaluation":[222,292],"carried":[224],"out":[225],"51":[227],"instances,":[232,279],"6":[234],"algorithms.":[236],"system,":[241],"ALORS,":[242],"showed":[243],"possible":[247],"outperform":[249],"best":[251],"standalone":[252],"efforts,":[256],"meaning":[257],"modest":[260],"amount":[261],"expertise.":[266],"follow-up":[268],"analysis,":[269],"space":[275],"reveals":[280],"practical":[281],"insights":[282],"can":[284],"support":[285],"performance":[291],"efforts.":[293]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}