{"id":"https://openalex.org/W2105327766","doi":"https://doi.org/10.1109/cimca.2005.1631447","title":"Can Ensemble Method Convert a 'Weak' Evolutionary Algorithm to a 'Strong' One?","display_name":"Can Ensemble Method Convert a 'Weak' Evolutionary Algorithm to a 'Strong' One?","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W2105327766","doi":"https://doi.org/10.1109/cimca.2005.1631447","mag":"2105327766"},"language":"en","primary_location":{"id":"doi:10.1109/cimca.2005.1631447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","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/A5021456584","display_name":"Shude Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shude Zhou","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept-of Computer Science and Technology, Tsinghua University, Beijing,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept-of Computer Science and Technology, Tsinghua University, Beijing,","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100516145","display_name":"Zengqi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengqi Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept-of Computer Science and Technology, Tsinghua University, Beijing,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept-of Computer Science and Technology, Tsinghua University, Beijing,","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.9324,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81408317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"68","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9945999979972839,"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":0.9945999979972839,"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/T10320","display_name":"Neural Networks and Applications","score":0.9911999702453613,"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":0.9860000014305115,"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/ensemble-learning","display_name":"Ensemble learning","score":0.7185533046722412},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6993199586868286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6752461194992065},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6399419903755188},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5316028594970703},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5122050642967224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4917931854724884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46642571687698364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4458695352077484},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44378191232681274},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.415336936712265},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.41183996200561523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24154075980186462}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7185533046722412},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6993199586868286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6752461194992065},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6399419903755188},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5316028594970703},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5122050642967224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4917931854724884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46642571687698364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4458695352077484},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44378191232681274},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.415336936712265},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.41183996200561523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24154075980186462},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cimca.2005.1631447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","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":16,"referenced_works":["https://openalex.org/W1964581121","https://openalex.org/W2011315427","https://openalex.org/W2078297643","https://openalex.org/W2093717447","https://openalex.org/W2126652700","https://openalex.org/W2129936995","https://openalex.org/W2135293965","https://openalex.org/W2170539222","https://openalex.org/W2337274278","https://openalex.org/W2414365832","https://openalex.org/W2574717559","https://openalex.org/W2912934387","https://openalex.org/W3154803405","https://openalex.org/W4212883601","https://openalex.org/W4247909501","https://openalex.org/W6685104253"],"related_works":["https://openalex.org/W4285046548","https://openalex.org/W4313488044","https://openalex.org/W3124390867","https://openalex.org/W4281757034","https://openalex.org/W4285741730","https://openalex.org/W4281560664","https://openalex.org/W3136979370","https://openalex.org/W3214927170","https://openalex.org/W2106748422","https://openalex.org/W2105327766"],"abstract_inverted_index":{"The":[0,15],"contribution":[1],"of":[2,12,18,28,68,86,98,131],"the":[3,10,35,74,89,96,116,129],"paper":[4],"is":[5,22,71],"bringing":[6],"ensemble":[7,21,49,126,138],"method":[8,127,139],"to":[9,33,114,146],"field":[11],"evolutionary":[13,19,29,57,132,144],"computation.":[14],"conceptive":[16],"model":[17],"algorithm":[20,58,70,105,145],"introduced,":[23],"in":[24],"which":[25],"a":[26,60,84,142,147],"collection":[27,85],"algorithms":[30],"are":[31,46,83,112],"designed":[32],"solve":[34],"same":[36],"problem":[37],"and":[38,50,66,92,106],"each":[39,69],"interact":[40],"with":[41,64],"others.":[42],"Two":[43],"implementation":[44],"methods":[45],"invented:":[47],"data-based":[48,54],"model-based":[51,80],"ensemble.":[52],"In":[53,79],"ensemble,":[55,81],"componential":[56],"shares":[59],"common":[61],"data":[62],"pool":[63,75],"others,":[65],"population":[67],"sampled":[72],"from":[73],"using":[76],"bagging":[77],"method.":[78],"there":[82],"models":[87],"describing":[88],"evolution":[90],"status,":[91],"they":[93],"cooperate":[94],"by":[95],"way":[97],"information":[99],"interaction.":[100],"As":[101],"examples,":[102],"simple":[103],"genetic":[104],"PBIL":[107],"(population":[108],"based":[109],"incremental":[110],"learning)":[111],"used":[113],"implement":[115],"ideas":[117],"respectively.":[118],"Experiments":[119],"on":[120],"combinatorial":[121],"optimization":[122],"problems":[123],"show":[124],"that":[125],"improves":[128],"performance":[130],"algorithm.":[133],"It":[134],"can":[135,140],"be":[136],"concluded":[137],"convert":[141],"\u2018weak\u2019":[143],"\u2018strong\u2019":[148],"one.":[149]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}