{"id":"https://openalex.org/W4384024886","doi":"https://doi.org/10.1145/3583131.3590480","title":"Directed Quick Search Guided Evolutionary Algorithm for Large-scale Multi-objective Optimization Problems","display_name":"Directed Quick Search Guided Evolutionary Algorithm for Large-scale Multi-objective Optimization Problems","publication_year":2023,"publication_date":"2023-07-12","ids":{"openalex":"https://openalex.org/W4384024886","doi":"https://doi.org/10.1145/3583131.3590480"},"language":"en","primary_location":{"id":"doi:10.1145/3583131.3590480","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3583131.3590480","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/A5101411245","display_name":"Ying Wu","orcid":"https://orcid.org/0009-0003-2781-1903"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Wu","raw_affiliation_strings":["College of Computer Science &amp; Artifcial Intelligence, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science &amp; Artifcial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019791875","display_name":"Na Yang","orcid":"https://orcid.org/0009-0002-9374-7279"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Yang","raw_affiliation_strings":["College of Computer Science &amp; Artifcial Intelligence, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science &amp; Artifcial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102813447","display_name":"Long Chen","orcid":"https://orcid.org/0009-0004-6764-3403"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["College of Teacher Education, Zhejiang Normal University, Jinhua, China"],"affiliations":[{"raw_affiliation_string":"College of Teacher Education, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058755242","display_name":"Ye Tian","orcid":"https://orcid.org/0000-0002-3487-5126"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Tian","raw_affiliation_strings":["Institutes of Physical Science and Information Technology, Anhui University, Anhui, China","the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui, China","Institutes of Physical Science and Information Technology, Anhui University, Anhui, China the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Institutes of Physical Science and Information Technology, Anhui University, Anhui, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui, China","institution_ids":[]},{"raw_affiliation_string":"Institutes of Physical Science and Information Technology, Anhui University, Anhui, China the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047527610","display_name":"Zhenzhou Tang","orcid":"https://orcid.org/0000-0001-7997-6038"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhou Tang","raw_affiliation_strings":["College of Computer Science &amp; Artifcial Intelligence, Wenzhou University, Wenzhou, China","Wenzhou Key Laboratory for Intelligent Networking, Wenzhou, China","College of Computer Science & Artifcial Intelligence, Wenzhou University, Wenzhou, China Wenzhou Key Laboratory for Intelligent Networking, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science &amp; Artifcial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]},{"raw_affiliation_string":"Wenzhou Key Laboratory for Intelligent Networking, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]},{"raw_affiliation_string":"College of Computer Science & Artifcial Intelligence, Wenzhou University, Wenzhou, China Wenzhou Key Laboratory for Intelligent Networking, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101411245"],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":null,"apc_paid":null,"fwci":0.2903,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44660194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"54","issue":null,"first_page":"777","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991000294685364,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6591534614562988},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6535753011703491},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6401812434196472},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5994054675102234},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5698549747467041},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5555581450462341},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.5164570808410645},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5090445876121521},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4492109417915344},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4451954960823059},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4418225884437561},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44021591544151306},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42010697722435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35509997606277466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34411364793777466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21219825744628906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591534614562988},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6535753011703491},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6401812434196472},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5994054675102234},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5698549747467041},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5555581450462341},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.5164570808410645},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5090445876121521},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4492109417915344},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4451954960823059},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4418225884437561},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44021591544151306},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42010697722435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35509997606277466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34411364793777466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21219825744628906},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583131.3590480","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3583131.3590480","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":[{"score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G8440285894","display_name":null,"funder_award_id":"LZ20F010008","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1967157470","https://openalex.org/W1971537182","https://openalex.org/W1983118771","https://openalex.org/W2006533296","https://openalex.org/W2103868202","https://openalex.org/W2126105956","https://openalex.org/W2145418868","https://openalex.org/W2329749247","https://openalex.org/W2343601797","https://openalex.org/W2510493362","https://openalex.org/W2513211214","https://openalex.org/W2616257225","https://openalex.org/W2764251381","https://openalex.org/W2806920391","https://openalex.org/W2832779309","https://openalex.org/W2914542742","https://openalex.org/W2932748297","https://openalex.org/W3002387451","https://openalex.org/W3011561584","https://openalex.org/W3041654307","https://openalex.org/W3123270512","https://openalex.org/W3134440233","https://openalex.org/W3176967745","https://openalex.org/W3201929238","https://openalex.org/W4214818918"],"related_works":["https://openalex.org/W2726551571","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W3133779647","https://openalex.org/W2802808995","https://openalex.org/W3190773221","https://openalex.org/W2391924736","https://openalex.org/W2021957875","https://openalex.org/W1560122427","https://openalex.org/W2780789525"],"abstract_inverted_index":{"For":[0],"large-scale":[1,41,185],"multi-objective":[2,42,186],"evolutionary":[3,16,43],"algorithms":[4],"(LSMOEAs),":[5],"it":[6],"has":[7],"been":[8],"a":[9,36,52,57,76],"major":[10],"challenge":[11],"to":[12,23,81,89,139,161,179,192],"efficiently":[13],"obtain":[14,162],"accurate":[15],"directions":[17],"in":[18,107,132],"the":[19,71,83,91,99,104,108,112,120,127,133,140,147,151,158,163,167,176,180],"ultra-high-dimensional":[20],"decision":[21,197],"space":[22,101],"produce":[24],"high-quality":[25],"offspring.":[26],"To":[27],"this":[28,30],"hand,":[29,114],"paper":[31],"proposes":[32],"an":[33,65],"algorithm,":[34],"namely,":[35],"directed":[37,61],"quick":[38,58],"search":[39,59,92,100],"guided":[40,60],"algorithm":[44,47],"(QSLMOA).":[45],"This":[46],"contains":[48],"three":[49,193],"main":[50],"parts:":[51],"directional":[53,79,121],"vector-based":[54],"sampling":[55,73,95,105],"strategy,":[56,63],"reproduction":[62,117],"and":[64,102,123,195],"environment":[66,159],"selection.":[67],"In":[68],"each":[69],"generation,":[70],"proposed":[72,116],"strategy":[74,96,118],"determines":[75],"set":[77],"of":[78,130,166],"solutions":[80,131],"construct":[82],"direction":[84],"vectors":[85],"which":[86,143],"are":[87],"used":[88],"guide":[90],"directions.":[93],"The":[94],"significantly":[97],"reduces":[98],"improves":[103],"efficiency":[106],"early":[109],"stages.":[110],"On":[111],"other":[113],"our":[115],"introduces":[119],"information,":[122],"with":[124,190],"their":[125],"assistance,":[126],"inferior":[128],"ones":[129],"combined":[134],"population":[135,165],"can":[136,144],"rapidly":[137],"converge":[138],"elite":[141],"ones,":[142],"speed":[145],"up":[146,191],"convergence":[148],"rate.":[149],"Finally,":[150],"elitist":[152],"non-dominated":[153],"sorting":[154],"is":[155],"adopted":[156],"as":[157],"selection":[160],"parent":[164],"next":[168],"generation.":[169],"Comprehensive":[170],"experiments":[171],"verify":[172],"that":[173],"QSLMOA":[174],"performs":[175],"best":[177],"compared":[178],"state-of-the-art":[181],"LSMOEAs":[182],"for":[183],"nine":[184],"benchmark":[187],"problems":[188],"LSMOP1-LSMOP9":[189],"objectives":[194],"5000":[196],"variables.":[198]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
