{"id":"https://openalex.org/W4318603568","doi":"https://doi.org/10.1109/ssci51031.2022.10022078","title":"Cross-domain Algorithm Selection: Algorithm Selection across Selection Hyper-heuristics","display_name":"Cross-domain Algorithm Selection: Algorithm Selection across Selection Hyper-heuristics","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4318603568","doi":"https://doi.org/10.1109/ssci51031.2022.10022078"},"language":"en","primary_location":{"id":"doi:10.1109/ssci51031.2022.10022078","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci51031.2022.10022078","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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/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 Misir","raw_affiliation_strings":["Duke Kunshan University,Division of Natural and Applied Sciences,Kunshan,China","Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke Kunshan University,Division of Natural and Applied Sciences,Kunshan,China","institution_ids":["https://openalex.org/I4210159968"]},{"raw_affiliation_string":"Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China","institution_ids":["https://openalex.org/I4210159968"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024551178"],"corresponding_institution_ids":["https://openalex.org/I4210159968"],"apc_list":null,"apc_paid":null,"fwci":0.6748,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71967691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991999864578247,"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":0.9991999864578247,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9955000281333923,"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/heuristics","display_name":"Heuristics","score":0.810637354850769},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6965593099594116},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6775788068771362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686429977416992},{"id":"https://openalex.org/keywords/hyper-heuristic","display_name":"Hyper-heuristic","score":0.5192037224769592},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4734881818294525},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46773892641067505},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4524083435535431},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.44698429107666016},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.4167528450489044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3316913843154907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3292335271835327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2177896797657013}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.810637354850769},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6965593099594116},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6775788068771362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686429977416992},{"id":"https://openalex.org/C117270229","wikidata":"https://www.wikidata.org/wiki/Q5957539","display_name":"Hyper-heuristic","level":5,"score":0.5192037224769592},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4734881818294525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46773892641067505},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4524083435535431},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.44698429107666016},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.4167528450489044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3316913843154907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3292335271835327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2177896797657013},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci51031.2022.10022078","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci51031.2022.10022078","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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":69,"referenced_works":["https://openalex.org/W101902402","https://openalex.org/W192263341","https://openalex.org/W1223412730","https://openalex.org/W1258972194","https://openalex.org/W1271512945","https://openalex.org/W1471542436","https://openalex.org/W1485930605","https://openalex.org/W1490176645","https://openalex.org/W1495775210","https://openalex.org/W1502328913","https://openalex.org/W1503030868","https://openalex.org/W1507638523","https://openalex.org/W1536647479","https://openalex.org/W1549353496","https://openalex.org/W1562315481","https://openalex.org/W1776786831","https://openalex.org/W1829921621","https://openalex.org/W1872241778","https://openalex.org/W1925566585","https://openalex.org/W1972450409","https://openalex.org/W1978087130","https://openalex.org/W1988415275","https://openalex.org/W2003091800","https://openalex.org/W2004115473","https://openalex.org/W2008029472","https://openalex.org/W2026566141","https://openalex.org/W2056433610","https://openalex.org/W2057457236","https://openalex.org/W2078841894","https://openalex.org/W2087311205","https://openalex.org/W2101234009","https://openalex.org/W2125024536","https://openalex.org/W2140759234","https://openalex.org/W2147148915","https://openalex.org/W2151554678","https://openalex.org/W2185511107","https://openalex.org/W2267545879","https://openalex.org/W2346933546","https://openalex.org/W2469401779","https://openalex.org/W2523718537","https://openalex.org/W2557490781","https://openalex.org/W2560674852","https://openalex.org/W2563364594","https://openalex.org/W2596388212","https://openalex.org/W2613385848","https://openalex.org/W2733604312","https://openalex.org/W2761554819","https://openalex.org/W2766539654","https://openalex.org/W2781324069","https://openalex.org/W2794849658","https://openalex.org/W2894900521","https://openalex.org/W2895357514","https://openalex.org/W2897293986","https://openalex.org/W2898873842","https://openalex.org/W2911964244","https://openalex.org/W2914775474","https://openalex.org/W2963562272","https://openalex.org/W2964281761","https://openalex.org/W3184302937","https://openalex.org/W4206164708","https://openalex.org/W4206931155","https://openalex.org/W4207077899","https://openalex.org/W4225683452","https://openalex.org/W4312269789","https://openalex.org/W6602063473","https://openalex.org/W6726705546","https://openalex.org/W6750155496","https://openalex.org/W6753030914","https://openalex.org/W6755095635"],"related_works":["https://openalex.org/W3177062893","https://openalex.org/W3125143773","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W4312926500","https://openalex.org/W4249772630","https://openalex.org/W2041180560","https://openalex.org/W2526745971"],"abstract_inverted_index":{"The":[0,134],"present":[1],"study":[2],"introduces":[3],"algorithm":[4,94,105,119,144],"selection":[5,7,65,95,97,120,132,145],"on":[6,59,96,139],"hyper-heuristics.":[8,133],"Hyper-heuristics":[9],"are":[10],"known":[11],"as":[12],"problem-independent":[13,113],"methods":[14],"utilized":[15],"to":[16,70],"solve":[17],"different":[18,60],"instances":[19],"from":[20],"varying":[21],"problem":[22,40,61,89],"domains.":[23],"In":[24],"the":[25,43,57,76,82,100],"literature,":[26],"there":[27,49],"has":[28,66],"been":[29,67],"effective":[30,147],"hyper-heuristic":[31,53],"designs":[32],"providing":[33],"a":[34,110],"certain":[35],"level":[36],"of":[37,112],"generality":[38,154],"in":[39],"solving.":[41],"Still,":[42],"relevant":[44],"existing":[45],"research":[46],"indicates":[47],"that":[48,143],"is":[50,115,121,146],"no":[51],"single":[52],"which":[54],"performs":[55,93],"always":[56],"best":[58,84],"solving":[62],"scenarios.":[63],"Algorithm":[64],"investigated":[68],"essentially":[69],"address":[71],"this":[72,108],"issue,":[73],"mainly":[74],"for":[75,86,99,148],"problem-specific":[77],"algorithms,":[78],"by":[79],"automatically":[80],"identifying":[81],"(near)":[83],"algorithm(s)":[85],"each":[87],"given":[88],"instance.":[90],"This":[91],"paper":[92],"hyper-heuristics,":[98],"first":[101],"time,":[102],"delivering":[103],"cross-domain":[104],"selection.":[106],"For":[107],"purpose,":[109],"suite":[111],"features":[114],"initially":[116],"introduced.":[117],"Then,":[118],"examined":[122],"across":[123],"9":[124],"single-objective":[125],"combinatorial":[126],"optimization":[127],"problems":[128,141],"with":[129],"6":[130],"online":[131],"experimental":[135],"results":[136],"carried":[137],"out":[138],"these":[140],"indicated":[142],"choosing":[149],"hyper-heuristics":[150],"while":[151],"offering":[152],"improved":[153],"and":[155],"robustness.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
