{"id":"https://openalex.org/W4412106572","doi":"https://doi.org/10.1145/3712256.3726450","title":"LAOS: Large Language Model-Driven Adaptive Operator Selection for Evolutionary Algorithms","display_name":"LAOS: Large Language Model-Driven Adaptive Operator Selection for Evolutionary Algorithms","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412106572","doi":"https://doi.org/10.1145/3712256.3726450"},"language":"en","primary_location":{"id":"doi:10.1145/3712256.3726450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712256.3726450","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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/A5043911102","display_name":"Yisong Zhang","orcid":"https://orcid.org/0009-0004-7205-2640"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisong Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0004-7205-2640","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065552649","display_name":"Guoxing Yi","orcid":"https://orcid.org/0000-0001-9881-0092"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxing Yi","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-9881-0092","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6376,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67765568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"517","last_page":"526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9994999766349792,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994000196456909,"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":0.7482019662857056},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.677257239818573},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5573258399963379},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4467077851295471},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4441155195236206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3962833285331726},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36170047521591187},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06230682134628296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7482019662857056},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.677257239818573},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5573258399963379},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4467077851295471},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4441155195236206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3962833285331726},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36170047521591187},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06230682134628296},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712256.3726450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712256.3726450","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":null,"license_id":null,"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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1499307573","https://openalex.org/W1513457688","https://openalex.org/W1980210743","https://openalex.org/W2007562521","https://openalex.org/W2049967755","https://openalex.org/W2053093276","https://openalex.org/W2083457599","https://openalex.org/W2103138948","https://openalex.org/W2130268070","https://openalex.org/W2132519943","https://openalex.org/W2137340504","https://openalex.org/W2146879413","https://openalex.org/W2155529731","https://openalex.org/W2164598227","https://openalex.org/W2515012917","https://openalex.org/W2593701695","https://openalex.org/W2624115314","https://openalex.org/W2899192399","https://openalex.org/W2911918032","https://openalex.org/W2912977439","https://openalex.org/W2913973577","https://openalex.org/W2950680102","https://openalex.org/W2961614712","https://openalex.org/W3004157915","https://openalex.org/W3012109984","https://openalex.org/W3203930809","https://openalex.org/W4232270132","https://openalex.org/W4237617116","https://openalex.org/W4251923025","https://openalex.org/W4302561932","https://openalex.org/W4323655724","https://openalex.org/W4323697341","https://openalex.org/W4362515116","https://openalex.org/W4367000100","https://openalex.org/W4382246105","https://openalex.org/W4385188625","https://openalex.org/W4387560731","https://openalex.org/W4388963501","https://openalex.org/W4389115798","https://openalex.org/W4390723197","https://openalex.org/W4390832770","https://openalex.org/W4391136507","https://openalex.org/W4391555829","https://openalex.org/W4392488404","https://openalex.org/W4392563544","https://openalex.org/W4393253095","https://openalex.org/W4394709522","https://openalex.org/W4400380401","https://openalex.org/W4400412639","https://openalex.org/W4401215987","https://openalex.org/W4401306886","https://openalex.org/W4401306979","https://openalex.org/W4402270921","https://openalex.org/W4405903187","https://openalex.org/W4406311637"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4409439182","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W4205762803"],"abstract_inverted_index":{"Adaptive":[0],"Operator":[1],"Selection":[2],"(AOS)":[3],"is":[4],"a":[5,43,72,99],"strategy":[6],"in":[7,65,155],"Evolutionary":[8],"Algorithms":[9],"(EAs)":[10],"that":[11],"dynamically":[12,92],"adjusts":[13],"the":[14,77,88,104,114,135,145],"application":[15],"frequency":[16],"of":[17,118,130,140,147],"operators":[18],"to":[19,45],"enhance":[20],"search":[21,119],"efficiency":[22,115],"based":[23],"on":[24,123],"online":[25,89],"performance":[26,158],"feedback.":[27],"This":[28,142],"paper":[29],"introduces":[30],"LAOS,":[31],"an":[32],"AOS":[33],"framework":[34,105],"driven":[35],"by":[36],"Large":[37],"Language":[38],"Models":[39],"(LLMs).":[40],"We":[41],"design":[42],"meta-prompt":[44],"provide":[46,107],"optimization":[47,52,126,132,157],"state":[48],"information":[49],"(such":[50],"as":[51],"progress,":[53],"best":[54],"fitness,":[55],"and":[56,59,116,127,137,159],"population":[57],"diversity)":[58],"operator":[60,85],"credit":[61],"assignment,":[62],"assisting":[63],"LLMs":[64,149],"making":[66],"adaptive":[67],"decisions.":[68],"Furthermore,":[69],"LAOS":[70],"maintains":[71],"dual-layer":[73],"replay":[74],"buffer":[75],"structure:":[76],"offline":[78],"layer":[79,90],"records":[80],"historical":[81],"experiences":[82,94],"under":[83],"fixed":[84],"strategies,":[86],"while":[87],"accumulates":[91],"generated":[93],"during":[95],"execution.":[96],"By":[97],"employing":[98],"similar":[100],"experience":[101],"sampling":[102],"strategy,":[103],"can":[106],"decision-making":[108],"support":[109],"for":[110,150],"LLMs,":[111],"enhancing":[112,156],"both":[113],"accuracy":[117],"strategies.":[120],"Experimental":[121],"results":[122],"continuous":[124],"numerical":[125],"three":[128],"categories":[129],"combinatorial":[131],"problems":[133],"validate":[134],"effectiveness":[136],"generalization":[138],"capability":[139],"LAOS.":[141],"study":[143],"demonstrates":[144],"feasibility":[146],"leveraging":[148],"AOS,":[151],"showcasing":[152],"their":[153],"potential":[154],"supporting":[160],"automated":[161],"algorithm":[162],"design.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
