{"id":"https://openalex.org/W2162027052","doi":"https://doi.org/10.1109/nabic.2010.5716355","title":"A hybrid approach of EDAs and GAs based on master/slave cooperation for continuous function optimization","display_name":"A hybrid approach of EDAs and GAs based on master/slave cooperation for continuous function optimization","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2162027052","doi":"https://doi.org/10.1109/nabic.2010.5716355","mag":"2162027052"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2010.5716355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","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/A5071901658","display_name":"Sri Mawar Said","orcid":null},"institutions":[{"id":"https://openalex.org/I32915989","display_name":"University of the Ryukyus","ror":"https://ror.org/02z1n9q24","country_code":"JP","type":"education","lineage":["https://openalex.org/I32915989"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S M Said","raw_affiliation_strings":["Department of Information Engineering, University of Ryukyus, Okinawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Ryukyus, Okinawa, Japan","institution_ids":["https://openalex.org/I32915989"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086114657","display_name":"Mamoru Nakamura","orcid":"https://orcid.org/0000-0001-7627-0056"},"institutions":[{"id":"https://openalex.org/I32915989","display_name":"University of the Ryukyus","ror":"https://ror.org/02z1n9q24","country_code":"JP","type":"education","lineage":["https://openalex.org/I32915989"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M Nakamura","raw_affiliation_strings":["Department of Information Engineering, University of Ryukyus, Okinawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Ryukyus, Okinawa, Japan","institution_ids":["https://openalex.org/I32915989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32915989"],"apc_list":null,"apc_paid":null,"fwci":0.2725,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.554641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"244","last_page":"248"},"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":0.9973000288009644,"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":0.9743000268936157,"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/edas","display_name":"EDAS","score":0.9536826014518738},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.7732046842575073},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6476345658302307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461203098297119},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5544777512550354},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5464892983436584},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.530612051486969},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5237186551094055},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.5002901554107666},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4540877342224121},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4112164080142975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35799440741539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3061266541481018},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22263675928115845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21339672803878784},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0878760814666748}],"concepts":[{"id":"https://openalex.org/C49284225","wikidata":"https://www.wikidata.org/wiki/Q5322829","display_name":"EDAS","level":3,"score":0.9536826014518738},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.7732046842575073},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6476345658302307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461203098297119},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5544777512550354},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5464892983436584},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.530612051486969},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5237186551094055},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5002901554107666},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4540877342224121},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4112164080142975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35799440741539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3061266541481018},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22263675928115845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21339672803878784},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0878760814666748},{"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nabic.2010.5716355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G6022619506","display_name":"A Study on Mathematical Programming based on Net modeling andLarge-scale Optimization Algorithms","funder_award_id":"22500031","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W22752330","https://openalex.org/W39164819","https://openalex.org/W68587524","https://openalex.org/W107095635","https://openalex.org/W1479911746","https://openalex.org/W1497256448","https://openalex.org/W1534948419","https://openalex.org/W1547363087","https://openalex.org/W1578973778","https://openalex.org/W1913522820","https://openalex.org/W2116832689","https://openalex.org/W2139015486","https://openalex.org/W2414365832","https://openalex.org/W2468462628","https://openalex.org/W3144940618","https://openalex.org/W6602772817","https://openalex.org/W6604228141","https://openalex.org/W6604462748","https://openalex.org/W6632937302"],"related_works":["https://openalex.org/W1982259447","https://openalex.org/W2496664933","https://openalex.org/W1503012231","https://openalex.org/W1058439126","https://openalex.org/W2360241151","https://openalex.org/W2547072840","https://openalex.org/W1544849317","https://openalex.org/W2124261928","https://openalex.org/W2047098179","https://openalex.org/W1522658100"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"hybrid":[4],"method":[5,81],"of":[6,8,27,97],"estimation":[7],"distribution":[9,26],"algorithms":[10,14],"(EDAs)":[11],"and":[12,39,88],"genetic":[13],"(GAs)":[15],"based":[16,31],"on":[17,32],"master/slave":[18],"cooperation.":[19],"The":[20,45],"master":[21],"process":[22],"estimates":[23],"the":[24,28,33,48,58,65,72,76],"probability":[25,41,60],"search":[29],"space":[30],"non-dependency":[34],"model":[35,61],"at":[36],"each":[37],"iteration":[38],"sends":[40],"vectors":[42],"to":[43,50,71],"slaves.":[44],"slaves":[46],"use":[47],"vector":[49],"generate":[51],"new":[52],"initial":[53],"population.":[54],"Our":[55],"approach":[56],"employs":[57],"simplest":[59,77],"but":[62],"compensates":[63],"for":[64],"accuracy":[66],"problems":[67],"by":[68],"applying":[69],"GAs":[70],"solutions":[73],"sampled":[74],"from":[75],"model.":[78],"Moreover,":[79],"our":[80,98],"can":[82],"be":[83],"incorporated":[84],"with":[85],"searching":[86],"strategy":[87],"also":[89],"easily":[90],"parallelized.":[91],"Computer":[92],"experiment":[93],"shows":[94],"some":[95],"effectiveness":[96],"method.":[99]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
