{"id":"https://openalex.org/W4379467314","doi":"https://doi.org/10.1007/s40747-023-01113-4","title":"A pairwise ranking estimation model for surrogate-assisted evolutionary algorithms","display_name":"A pairwise ranking estimation model for surrogate-assisted evolutionary algorithms","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4379467314","doi":"https://doi.org/10.1007/s40747-023-01113-4"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01113-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01113-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01113-4.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01113-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041453383","display_name":"Tomohiro Harada","orcid":"https://orcid.org/0000-0002-0704-4351"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomohiro Harada","raw_affiliation_strings":["Faculty of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041453383"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.9011,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88386365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"6","first_page":"6875","last_page":"6890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9980000257492065,"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":0.9878000020980835,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7983973026275635},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.762144923210144},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7322342991828918},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.7240632772445679},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6935659646987915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6927921772003174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.654880702495575},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6353554725646973},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6040967702865601},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5287498831748962},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5178697109222412},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5068350434303284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46820738911628723},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.42856594920158386}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7983973026275635},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.762144923210144},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7322342991828918},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.7240632772445679},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6935659646987915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927921772003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.654880702495575},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6353554725646973},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6040967702865601},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5287498831748962},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5178697109222412},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5068350434303284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46820738911628723},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.42856594920158386},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01113-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01113-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01113-4.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f300bf42deb64bc58842e6d2b9a35568","is_oa":true,"landing_page_url":"https://doaj.org/article/f300bf42deb64bc58842e6d2b9a35568","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6875-6890 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01113-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01113-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01113-4.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5307334378","display_name":null,"funder_award_id":"21K17826","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7752643416","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4379467314.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1487546987","https://openalex.org/W1504812409","https://openalex.org/W1595159159","https://openalex.org/W1678356000","https://openalex.org/W1887471722","https://openalex.org/W1966097591","https://openalex.org/W2001422417","https://openalex.org/W2011174137","https://openalex.org/W2026131661","https://openalex.org/W2028501442","https://openalex.org/W2047221353","https://openalex.org/W2061554433","https://openalex.org/W2066650517","https://openalex.org/W2070493638","https://openalex.org/W2077651858","https://openalex.org/W2082228576","https://openalex.org/W2087347434","https://openalex.org/W2098290011","https://openalex.org/W2100274914","https://openalex.org/W2101677491","https://openalex.org/W2111072639","https://openalex.org/W2114229561","https://openalex.org/W2132477054","https://openalex.org/W2141867233","https://openalex.org/W2151019861","https://openalex.org/W2287363374","https://openalex.org/W2469121354","https://openalex.org/W2566693540","https://openalex.org/W2679717297","https://openalex.org/W2753899746","https://openalex.org/W2785722638","https://openalex.org/W2801960628","https://openalex.org/W2805951336","https://openalex.org/W2885582368","https://openalex.org/W2966057224","https://openalex.org/W2998264770","https://openalex.org/W3015263729","https://openalex.org/W3016991904","https://openalex.org/W3022917197","https://openalex.org/W3080882303","https://openalex.org/W3083125375","https://openalex.org/W3113095334","https://openalex.org/W3134604425","https://openalex.org/W3136946679","https://openalex.org/W3151500596","https://openalex.org/W3164621419","https://openalex.org/W4213023965","https://openalex.org/W4243947404"],"related_works":["https://openalex.org/W1993717606","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W4293363729","https://openalex.org/W1560122427","https://openalex.org/W3041827036","https://openalex.org/W1993493607","https://openalex.org/W2021957875"],"abstract_inverted_index":{"Abstract":[0],"Surrogate-assisted":[1],"evolutionary":[2],"algorithms":[3],"(SAEAs)":[4],"have":[5],"attracted":[6],"considerable":[7],"attention":[8],"for":[9,109],"reducing":[10],"the":[11,30,47,68,114,117,125,173],"computation":[12,53],"time":[13],"required":[14],"by":[15],"an":[16,51],"EA":[17],"on":[18,143,161,188],"computationally":[19],"expensive":[20,52],"optimization":[21,146],"problems.":[22,148,190],"In":[23,171],"such":[24],"algorithms,":[25],"a":[26,34,61,88,104,135,156,165,178],"surrogate":[27,65,119],"model":[28,66],"estimates":[29],"solution":[31],"evaluation":[32,49],"with":[33,50,140,164,183],"low":[35],"computing":[36],"cost":[37,54],"and":[38,83,138],"is":[39,55,87],"used":[40],"to":[41,45,101],"obtain":[42],"promising":[43],"solutions":[44],"which":[46],"accurate":[48],"then":[56],"applied.":[57],"This":[58],"study":[59,122],"proposes":[60],"novel":[62],"pairwise":[63,99],"ranking":[64],"called":[67],"Extreme":[69],"Learning-machine-based":[70],"DirectRanker":[71,84],"(ELDR).":[72],"ELDR":[73,131,154,176],"integrates":[74],"two":[75],"machine":[76,81],"learning":[77,80,100],"models:":[78],"extreme":[79],"(ELM)":[82],"(DR).":[85],"ELM":[86],"single-layer":[89],"neural":[90,105],"network":[91,106],"capable":[92],"of":[93,116,128,168],"fast":[94],"learning,":[95],"whereas":[96],"DR":[97],"uses":[98],"rank":[102],"using":[103,175],"developed":[107],"mainly":[108],"information":[110],"retrieval.":[111],"To":[112],"investigate":[113],"effectiveness":[115],"proposed":[118],"model,":[120],"this":[121],"first":[123],"examined":[124],"estimation":[126,158],"accuracy":[127,159],"ELDR.":[129],"Subsequently,":[130],"was":[132],"incorporated":[133],"into":[134],"state-of-the-art":[136],"SAEA":[137,174],"compared":[139,182],"existing":[141,185],"SAEAs":[142],"well-known":[144],"real-valued":[145],"benchmark":[147],"The":[149],"experimental":[150],"results":[151],"revealed":[152],"that":[153],"has":[155],"high":[157,179],"even":[160],"high-dimensional":[162,189],"problems":[163],"small":[166],"amount":[167],"training":[169],"data.":[170],"addition,":[172],"exhibited":[177],"search":[180],"performance":[181],"other":[184],"SAEAs,":[186],"especially":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}