{"id":"https://openalex.org/W2149768178","doi":"https://doi.org/10.1109/isic.2007.4450894","title":"A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization","display_name":"A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2149768178","doi":"https://doi.org/10.1109/isic.2007.4450894","mag":"2149768178"},"language":"en","primary_location":{"id":"doi:10.1109/isic.2007.4450894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isic.2007.4450894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 22nd International Symposium on Intelligent Control","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/A5021045741","display_name":"Chi-Keong Goh","orcid":"https://orcid.org/0000-0002-4250-7307"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"C. K. Goh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025285243","display_name":"Kay Chen Tan","orcid":"https://orcid.org/0000-0002-6802-2463"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"K. C. Tan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085887197","display_name":"Arthur Tay","orcid":"https://orcid.org/0000-0002-3197-2369"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"E. B. Tay","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021045741"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.7286,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7418191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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":0.9948999881744385,"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/benchmark","display_name":"Benchmark (surveying)","score":0.677427351474762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6564178466796875},{"id":"https://openalex.org/keywords/coevolution","display_name":"Coevolution","score":0.6417832970619202},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6384908556938171},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5754293203353882},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5592860579490662},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5132424831390381},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5107970237731934},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5078206658363342},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.4676232933998108},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4503541886806488},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.43495553731918335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3779347538948059},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23481473326683044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21289432048797607},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08080711960792542}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.677427351474762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564178466796875},{"id":"https://openalex.org/C33009525","wikidata":"https://www.wikidata.org/wiki/Q208841","display_name":"Coevolution","level":2,"score":0.6417832970619202},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6384908556938171},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5754293203353882},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5592860579490662},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5132424831390381},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5107970237731934},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5078206658363342},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.4676232933998108},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4503541886806488},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.43495553731918335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3779347538948059},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23481473326683044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21289432048797607},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08080711960792542},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isic.2007.4450894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isic.2007.4450894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 22nd International Symposium on Intelligent Control","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/68748","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/68748","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1515037263","https://openalex.org/W1519778441","https://openalex.org/W1547660422","https://openalex.org/W1585939719","https://openalex.org/W1805994660","https://openalex.org/W2006982701","https://openalex.org/W2030347721","https://openalex.org/W2053900989","https://openalex.org/W2098907614","https://openalex.org/W2100211715","https://openalex.org/W2110990923","https://openalex.org/W2117762792","https://openalex.org/W2125015761","https://openalex.org/W2126105956","https://openalex.org/W2126616379","https://openalex.org/W2136827689","https://openalex.org/W2139737014","https://openalex.org/W2140267146","https://openalex.org/W2152551290","https://openalex.org/W2169157770","https://openalex.org/W6635097213","https://openalex.org/W6638158533"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W3151104768","https://openalex.org/W2419109832"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,65],"new":[4],"coevolutionary":[5,88],"paradigm":[6],"that":[7],"hybridizes":[8],"competitive":[9],"and":[10,39,46,110],"cooperative":[11],"mechanisms":[12],"observed":[13],"in":[14,106],"nature":[15],"to":[16,28,37,63,78],"solve":[17],"multi-objective":[18,70,95],"optimization":[19,35,54],"problems.":[20],"The":[21,83],"main":[22],"idea":[23],"of":[24,33,51,68,85],"cooperationist-competitive":[25],"coevolution":[26],"is":[27,91],"allow":[29],"the":[30,34,49,52,69,73,80,86],"decomposition":[31],"process":[32],"problem":[36,71],"adapt":[38],"emerge":[40],"rather":[41],"than":[42],"being":[43],"hand":[44],"designed":[45],"fixed":[47],"at":[48],"start":[50],"evolutionary":[53,96],"process.":[55],"In":[56],"particular,":[57],"each":[58],"species":[59],"subpopulation":[60],"will":[61,76],"compete":[62],"represent":[64],"particular":[66],"subcomponent":[67],"while":[72],"eventual":[74],"winners":[75],"cooperate":[77],"evolve":[79],"better":[81],"solutions.":[82],"effectiveness":[84],"competitive-cooperation":[87],"algorithm":[89],"(COEA)":[90],"validated":[92],"against":[93],"various":[94],"algorithms":[97],"upon":[98],"three":[99],"benchmark":[100],"problems":[101],"characterized":[102],"by":[103],"different":[104],"difficulties":[105],"local":[107],"optimality,":[108],"non-convexity":[109],"high-dimensionality.":[111]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}