{"id":"https://openalex.org/W2156566884","doi":"https://doi.org/10.1109/cec.2008.4631014","title":"Multilevel cooperative coevolution for large scale optimization","display_name":"Multilevel cooperative coevolution for large scale optimization","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2156566884","doi":"https://doi.org/10.1109/cec.2008.4631014","mag":"2156566884"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4631014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","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/A5100433323","display_name":"Zhenyu Yang","orcid":"https://orcid.org/0000-0002-0773-0298"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Yang","raw_affiliation_strings":["Nature Inspired Computation and Applications Laboratory, Department of Computer Science and Technology, University of Science and Technology, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nature Inspired Computation and Applications Laboratory, Department of Computer Science and Technology, University of Science and Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021254405","display_name":"Ke Tang","orcid":"https://orcid.org/0000-0002-6236-2002"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Tang","raw_affiliation_strings":["Nature Inspired Computation and Applications Laboratory, Department of Computer Science and Technology, University of Science and Technology, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nature Inspired Computation and Applications Laboratory, Department of Computer Science and Technology, University of Science and Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["School of Computer Science, CERCIA, University of Birmingham, Birmingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, CERCIA, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.554,"has_fulltext":false,"cited_by_count":327,"citation_normalized_percentile":{"value":0.98162033,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1663","last_page":"1670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9959999918937683,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9812999963760376,"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/decomposer","display_name":"Decomposer","score":0.8536744117736816},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6158437132835388},{"id":"https://openalex.org/keywords/coevolution","display_name":"Coevolution","score":0.6116538047790527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5821542143821716},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5572254061698914},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.48250913619995117},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44537287950515747},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44446516036987305},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4314693212509155},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4245375692844391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3514401912689209},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24652501940727234},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.12573739886283875}],"concepts":[{"id":"https://openalex.org/C104170005","wikidata":"https://www.wikidata.org/wiki/Q842391","display_name":"Decomposer","level":3,"score":0.8536744117736816},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6158437132835388},{"id":"https://openalex.org/C33009525","wikidata":"https://www.wikidata.org/wiki/Q208841","display_name":"Coevolution","level":2,"score":0.6116538047790527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5821542143821716},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5572254061698914},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.48250913619995117},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44537287950515747},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44446516036987305},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4314693212509155},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4245375692844391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3514401912689209},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24652501940727234},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.12573739886283875},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cec.2008.4631014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.160.1366","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.1366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nical.ustc.edu.cn/papers/wcci2008/EC0418.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/c744de06-a790-4a2a-8a6b-7a44ec8c923b","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/c744de06-a790-4a2a-8a6b-7a44ec8c923b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, Z, Tang, K & Yao, X 2008, 'Multilevel Cooperative Coevolution for Large Scale Optimization', Paper presented at Proceedings of 2008 IEEE Congress on Evolutionary Computation (CEC2008), 6/06/08 pp. 1663-1670. https://doi.org/10.1109/CEC.2008.4631014","raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1555689267","https://openalex.org/W1571424162","https://openalex.org/W1805994660","https://openalex.org/W1879678483","https://openalex.org/W1918030494","https://openalex.org/W2018375997","https://openalex.org/W2100211715","https://openalex.org/W2107544712","https://openalex.org/W2118840131","https://openalex.org/W2121429049","https://openalex.org/W2129272928","https://openalex.org/W2144293671","https://openalex.org/W2169897982","https://openalex.org/W2911346016","https://openalex.org/W2917134690","https://openalex.org/W6638158533"],"related_works":["https://openalex.org/W2111966523","https://openalex.org/W2331559976","https://openalex.org/W93264058","https://openalex.org/W4239368574","https://openalex.org/W2805525063","https://openalex.org/W2051358727","https://openalex.org/W3011082995","https://openalex.org/W4328130735","https://openalex.org/W1607002415","https://openalex.org/W4291462959"],"abstract_inverted_index":{"In":[0,63],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,32,59,66,89,102,107],"multilevel":[6],"cooperative":[7,27],"coevolution":[8,28],"(MLCC)":[9],"framework":[10],"for":[11],"large":[12],"scale":[13],"optimization":[14],"problems.":[15],"The":[16,41,83,135],"motivation":[17],"is":[18,71,86,128,141],"to":[19,49,105,110,130],"improve":[20],"our":[21],"previous":[22],"work":[23],"on":[24,74,143],"grouping":[25,61,77],"based":[26,73],"(EACC-G),":[29],"which":[30],"has":[31],"hard-to-determine":[33],"parameter,":[34],"group":[35,45,81,116],"size,":[36],"in":[37],"tackling":[38],"problem":[39,42,69],"decomposition.":[40],"decomposer":[43,108],"takes":[44],"size":[46],"as":[47],"parameter":[48],"divide":[50],"the":[51,64,75,95,123,138,144],"objective":[52,125],"vector":[53],"into":[54,88],"low":[55],"dimensional":[56],"subcomponents":[57],"with":[58,79],"random":[60,76],"strategy.":[62],"MLCC,":[65],"set":[67,145],"of":[68,91,97,137,146],"decomposers":[70],"constructed":[72],"strategy":[78],"different":[80,115,119,133],"sizes.":[82],"evolution":[84],"process":[85],"divided":[87],"number":[90],"cycles,":[92],"and":[93],"at":[94],"start":[96],"each":[98],"cycle":[99],"MLCC":[100,127,140],"uses":[101],"self-adapted":[103],"mechanism":[104],"select":[106],"according":[109],"its":[111],"historical":[112],"performance.":[113],"Since":[114],"sizes":[117],"capture":[118],"interaction":[120],"levels":[121],"between":[122],"original":[124],"variables,":[126],"able":[129],"self-adapt":[131],"among":[132],"levels.":[134],"efficacy":[136],"proposed":[139],"evaluated":[142],"benchmark":[147],"functions":[148],"provided":[149],"by":[150],"CECpsila2008":[151],"special":[152],"session.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":35},{"year":2017,"cited_by_count":33},{"year":2016,"cited_by_count":39},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":28},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":14}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
