{"id":"https://openalex.org/W2037032215","doi":"https://doi.org/10.1109/cec.2009.4983126","title":"Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms","display_name":"Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2037032215","doi":"https://doi.org/10.1109/cec.2009.4983126","mag":"2037032215"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2009.4983126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2009.4983126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Tackling_high_dimensional_nonseparable_optimization_problems_by_cooperatively_coevolving_particle_swarms/27336567","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100369719","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0003-0346-1526"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["School of Computer Science and IT, RMIT University, Melbourne, Australia","School of Computer Science and IT, RMIT University, VIC 3001, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and IT, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Computer Science and IT, RMIT University, VIC 3001, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["School of Computer Science and IT, University of Binningham, Birmingham, UK","School of Computer Science, The University of Birmingham, Edgbaston, B15 2TT, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and IT, University of Binningham, Birmingham, UK","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, The University of Birmingham, Edgbaston, B15 2TT, U.K","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100369719"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":10.8391,"has_fulltext":false,"cited_by_count":134,"citation_normalized_percentile":{"value":0.98369337,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1546","last_page":"1553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9979000091552734,"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":0.9976999759674072,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6752672791481018},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6536428928375244},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6103382110595703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5630506873130798},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5142073631286621},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.499605655670166},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4894806146621704},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.4746582806110382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4544260501861572},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4466613531112671},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34554100036621094}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6752672791481018},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6536428928375244},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6103382110595703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630506873130798},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5142073631286621},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.499605655670166},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4894806146621704},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.4746582806110382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4544260501861572},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4466613531112671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34554100036621094},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.1109/cec.2009.4983126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2009.4983126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.rmit.edu.au:rmit:4164","is_oa":false,"landing_page_url":"http://researchbank.rmit.edu.au/view/rmit:4164","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.3204","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.3204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://goanna.cs.rmit.edu.au/~xiaodong/publications/ccpso-cec09.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.160.2580","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.2580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~xin/papers/LiYaoCEC09.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.343.9690","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.343.9690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:alma.61RMIT_INST:11248342380001341","is_oa":false,"landing_page_url":"http://doi.org/10.1109/CEC.2009.4983126","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27336567","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Tackling_high_dimensional_nonseparable_optimization_problems_by_cooperatively_coevolving_particle_swarms/27336567","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/98d35679-8d80-428c-809e-658dffb0f7e9","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/98d35679-8d80-428c-809e-658dffb0f7e9","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":"Li, X & Yao, X 2009, 'Tackling High Dimensional Nonseparable Optimization Problems by Cooperatively Coevolving Particle Swarms', Paper presented at Proceedings of the 2009 IEEE Congress on Evolutionary Computation (CEC2009), 18/05/09 pp. 1546-1553. https://doi.org/10.1109/CEC.2009.4983126","raw_type":"conferenceObject"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27336567","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Tackling_high_dimensional_nonseparable_optimization_problems_by_cooperatively_coevolving_particle_swarms/27336567","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1555689267","https://openalex.org/W1571424162","https://openalex.org/W1708394971","https://openalex.org/W1918030494","https://openalex.org/W2027996967","https://openalex.org/W2118840131","https://openalex.org/W2120771954","https://openalex.org/W2121429049","https://openalex.org/W2134493701","https://openalex.org/W2144293671","https://openalex.org/W2169245194","https://openalex.org/W2171979478","https://openalex.org/W6634193393"],"related_works":["https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2950423922","https://openalex.org/W2116074880","https://openalex.org/W2070977815","https://openalex.org/W2137136732","https://openalex.org/W2132113279","https://openalex.org/W2368795850","https://openalex.org/W2972744589","https://openalex.org/W2003904901"],"abstract_inverted_index":{"This":[0],"paper":[1],"attempts":[2],"to":[3,15,40,73,80,139],"address":[4],"the":[5,67,70,104,125],"question":[6],"of":[7,63,69,117],"scaling":[8],"up":[9,79],"particle":[10],"swarm":[11],"optimization":[12,18,142],"(PSO)":[13],"algorithms":[14,52,107],"high":[16,45,74],"dimensional":[17,46,75],"problems.":[19,48],"We":[20],"present":[21],"a":[22,54,114],"cooperative":[23],"coevolving":[24,57,90],"PSO":[25,58],"(CCPSO)":[26],"algorithm":[27,59,72],"incorporating":[28],"random":[29,126],"grouping":[30,127],"and":[31,85,95,128],"adaptive":[32,129],"weighting,":[33],"two":[34,88],"techniques":[35],"that":[36,123,135],"have":[37],"been":[38],"shown":[39],"be":[41,137],"effective":[42],"for":[43],"handling":[44],"nonseparable":[47,61,76],"The":[49,119],"proposed":[50,71,105],"CCPSO":[51,106],"out-performed":[53],"previously":[55],"developed":[56],"on":[60],"functions":[62],"30":[64],"dimensions.":[65],"Furthermore,":[66],"scalability":[68],"problems":[77],"(of":[78],"1000":[81],"dimensions)":[82],"is":[83],"examined":[84],"compared":[86],"with":[87,112],"existing":[89],"differential":[91],"evolution":[92],"(DE)":[93],"algorithms,":[94],"new":[96],"insights":[97],"are":[98,132],"obtained.":[99],"Our":[100],"experimental":[101],"results":[102,120],"show":[103],"can":[108,136],"perform":[109],"reasonably":[110],"well":[111],"only":[113],"small":[115],"number":[116],"evaluations.":[118],"also":[121],"suggest":[122],"both":[124],"weighting":[130],"schemes":[131],"viable":[133],"approaches":[134],"generalized":[138],"other":[140],"evolutionary":[141],"methods.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
