{"id":"https://openalex.org/W3190773221","doi":"https://doi.org/10.1109/cec45853.2021.9504976","title":"A Population Prescreening Strategy for Kriging-Assisted Evolutionary Computation","display_name":"A Population Prescreening Strategy for Kriging-Assisted Evolutionary Computation","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3190773221","doi":"https://doi.org/10.1109/cec45853.2021.9504976","mag":"3190773221"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9504976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","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/A5042917762","display_name":"Dawei Zhan","orcid":"https://orcid.org/0000-0002-0173-3447"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Zhan","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007865788","display_name":"Huanlai Xing","orcid":"https://orcid.org/0000-0002-6345-7265"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanlai Xing","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"893","last_page":"900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9894999861717224,"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":0.9747999906539917,"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/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7679651975631714},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.7313991785049438},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6773428916931152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398454904556274},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6318787336349487},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5548779964447021},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.5524036288261414},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5124359726905823},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47733670473098755},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4547107517719269},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3141886591911316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3071441054344177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23477089405059814}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7679651975631714},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.7313991785049438},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6773428916931152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398454904556274},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6318787336349487},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5548779964447021},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.5524036288261414},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5124359726905823},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47733670473098755},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4547107517719269},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3141886591911316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3071441054344177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23477089405059814},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec45853.2021.9504976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.75,"display_name":"No poverty"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W61667912","https://openalex.org/W135104305","https://openalex.org/W1497942223","https://openalex.org/W1510052597","https://openalex.org/W1548010335","https://openalex.org/W1584066809","https://openalex.org/W1595159159","https://openalex.org/W1970926416","https://openalex.org/W1975177745","https://openalex.org/W2000503034","https://openalex.org/W2011174137","https://openalex.org/W2013695155","https://openalex.org/W2028101187","https://openalex.org/W2082228576","https://openalex.org/W2096369439","https://openalex.org/W2110194546","https://openalex.org/W2132181343","https://openalex.org/W2136918060","https://openalex.org/W2166739626","https://openalex.org/W2546299924","https://openalex.org/W2591927365","https://openalex.org/W2605777387","https://openalex.org/W2679717297","https://openalex.org/W2785722638","https://openalex.org/W2891140334","https://openalex.org/W2891186800","https://openalex.org/W2946914248","https://openalex.org/W3042036888","https://openalex.org/W6679381669","https://openalex.org/W6736498819","https://openalex.org/W7037101030"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W3133779647","https://openalex.org/W2593449396","https://openalex.org/W2802808995","https://openalex.org/W85101999","https://openalex.org/W2391924736","https://openalex.org/W3190773221","https://openalex.org/W1560122427","https://openalex.org/W2780789525"],"abstract_inverted_index":{"Prescreening":[0],"strategies":[1,17],"have":[2],"been":[3],"widely":[4],"used":[5,26,67,108],"in":[6],"surrogate-assisted":[7],"evolutionary":[8,54,64,141],"algorithms":[9,142],"for":[10,20,52,99,117],"screening":[11],"out":[12],"poor":[13],"solutions.":[14],"Existing":[15],"prescreening":[16,43,131],"are":[18,25,66,80,107],"designed":[19],"individual-level":[21],"selection,":[22],"i.e.":[23],"they":[24],"to":[27,69,109],"select":[28,110],"individuals":[29],"from":[30,113],"a":[31,41,71],"set":[32,72],"of":[33,59,73,138],"population":[34,42,90,116,130],"members.":[35],"In":[36,56],"this":[37],"work,":[38],"we":[39],"propose":[40],"strategy":[44,132],"based":[45],"on":[46,122],"the":[47,60,63,83,89,100,114,128,135,139],"multi-point":[48,84,93],"expected":[49,85,94],"improvement":[50,86,95],"criterion":[51,87],"Kriging-assisted":[53,140],"algorithms.":[55],"each":[57],"generation":[58],"proposed":[61,129],"algorithm,":[62],"operators":[65],"repeatedly":[68],"generate":[70],"candidate":[74,78],"populations.":[75],"Then,":[76],"these":[77],"populations":[79],"prescreened":[81],"by":[82],"and":[88],"with":[91],"highest":[92],"value":[96],"is":[97],"selected":[98,115],"next":[101],"generation.":[102],"Following":[103],"this,":[104],"infill":[105],"criteria":[106],"promising":[111],"solutions":[112],"expensive":[118],"evaluation.":[119],"Numerical":[120],"experiments":[121],"eighteen":[123],"test":[124],"problems":[125],"show":[126],"that":[127],"can":[133],"improve":[134],"optimization":[136],"efficiency":[137],"significantly":[143],"without":[144],"introducing":[145],"too":[146],"much":[147],"additional":[148],"computational":[149],"cost.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}