{"id":"https://openalex.org/W1594431409","doi":"https://doi.org/10.1109/cec.2015.7257204","title":"Search dynamics of fitness landscape learning evolutionary computation with two types of evolution control","display_name":"Search dynamics of fitness landscape learning evolutionary computation with two types of evolution control","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1594431409","doi":"https://doi.org/10.1109/cec.2015.7257204","mag":"1594431409"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2015.7257204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7257204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","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/A5084942331","display_name":"Taku Hasegawa","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taku Hasegawa","raw_affiliation_strings":["Graduate School of Engineering Osaka Prefecture University, Sakai city, Osaka, JAPAN","Graduate School of Engineering Osaka Prefecture University, 1-1 Gakuencho, Sakai city, 599-8531, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, Sakai city, Osaka, JAPAN","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, 1-1 Gakuencho, Sakai city, 599-8531, JAPAN","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022645695","display_name":"Naoki Mori","orcid":"https://orcid.org/0000-0002-0707-3443"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Mori","raw_affiliation_strings":["Graduate School of Engineering Osaka Prefecture University, Sakai city, Osaka, JAPAN","Graduate School of Engineering Osaka Prefecture University, 1-1 Gakuencho, Sakai city, 599-8531, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, Sakai city, Osaka, JAPAN","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, 1-1 Gakuencho, Sakai city, 599-8531, JAPAN","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030367285","display_name":"Tsukada Kento","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukada Kento","raw_affiliation_strings":["Graduate School of Engineering Osaka Prefecture University, Sakai city, Osaka, JAPAN","Graduate School of Engineering Osaka Prefecture University, 1-1 Gakuencho, Sakai city, 599-8531, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, Sakai city, Osaka, JAPAN","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, 1-1 Gakuencho, Sakai city, 599-8531, JAPAN","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079650694","display_name":"Keinosuke Matsumoto","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keinosuke Matsumoto","raw_affiliation_strings":["Graduate School of Engineering Osaka Prefecture University, Sakai city, Osaka, JAPAN","Graduate School of Engineering Osaka Prefecture University, 1-1 Gakuencho, Sakai city, 599-8531, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, Sakai city, Osaka, JAPAN","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, 1-1 Gakuencho, Sakai city, 599-8531, JAPAN","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03570511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2247","issue":null,"first_page":"2565","last_page":"2572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9986000061035156,"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/T11309","display_name":"Music and Audio Processing","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/fitness-approximation","display_name":"Fitness approximation","score":0.814037561416626},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.7894575595855713},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.7482523918151855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6624724268913269},{"id":"https://openalex.org/keywords/interactive-evolutionary-computation","display_name":"Interactive evolutionary computation","score":0.6575921177864075},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.6532584428787231},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6294616460800171},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5916872620582581},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.585328221321106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5052242875099182},{"id":"https://openalex.org/keywords/human-based-evolutionary-computation","display_name":"Human-based evolutionary computation","score":0.48690950870513916},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.48222362995147705},{"id":"https://openalex.org/keywords/evolutionary-dynamics","display_name":"Evolutionary dynamics","score":0.4188401401042938},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41414108872413635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4043498635292053},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.28810787200927734},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.2381685972213745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22552552819252014},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15736141800880432},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.06637352705001831}],"concepts":[{"id":"https://openalex.org/C148392497","wikidata":"https://www.wikidata.org/wiki/Q16250539","display_name":"Fitness approximation","level":4,"score":0.814037561416626},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.7894575595855713},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.7482523918151855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624724268913269},{"id":"https://openalex.org/C123189799","wikidata":"https://www.wikidata.org/wiki/Q6045380","display_name":"Interactive evolutionary computation","level":4,"score":0.6575921177864075},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.6532584428787231},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6294616460800171},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5916872620582581},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.585328221321106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5052242875099182},{"id":"https://openalex.org/C158564503","wikidata":"https://www.wikidata.org/wiki/Q5936745","display_name":"Human-based evolutionary computation","level":5,"score":0.48690950870513916},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.48222362995147705},{"id":"https://openalex.org/C171578705","wikidata":"https://www.wikidata.org/wiki/Q5418700","display_name":"Evolutionary dynamics","level":3,"score":0.4188401401042938},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41414108872413635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4043498635292053},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.28810787200927734},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2381685972213745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22552552819252014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15736141800880432},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.06637352705001831},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/cec.2015.7257204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7257204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":30,"referenced_works":["https://openalex.org/W75550020","https://openalex.org/W149236175","https://openalex.org/W1522125287","https://openalex.org/W1534477342","https://openalex.org/W1591022951","https://openalex.org/W1981743143","https://openalex.org/W1995118269","https://openalex.org/W2012451526","https://openalex.org/W2055772055","https://openalex.org/W2058847030","https://openalex.org/W2064378738","https://openalex.org/W2087347434","https://openalex.org/W2093717447","https://openalex.org/W2131612655","https://openalex.org/W2144636407","https://openalex.org/W2151019861","https://openalex.org/W2152150600","https://openalex.org/W2163652815","https://openalex.org/W2166739626","https://openalex.org/W2324524092","https://openalex.org/W2328890028","https://openalex.org/W2513479366","https://openalex.org/W2796837256","https://openalex.org/W2912934387","https://openalex.org/W2981264952","https://openalex.org/W3021787434","https://openalex.org/W3023540311","https://openalex.org/W6603061937","https://openalex.org/W6666303975","https://openalex.org/W6684132337"],"related_works":["https://openalex.org/W1573147006","https://openalex.org/W1634842376","https://openalex.org/W2731746886","https://openalex.org/W2652238734","https://openalex.org/W2159937791","https://openalex.org/W1583704618","https://openalex.org/W1594431409","https://openalex.org/W1995118269","https://openalex.org/W143906387","https://openalex.org/W2373051176"],"abstract_inverted_index":{"Fitness":[0,85],"approximation":[1],"methods":[2],"in":[3,11,106],"Evolutionary":[4,88],"Computation":[5,89],"(EC)":[6],"provide":[7],"us":[8],"good":[9,94],"results":[10],"real-world":[12],"optimization.":[13],"On":[14],"the":[15,22,31,64,109],"other":[16],"hand,":[17],"little":[18],"is":[19],"known":[20],"about":[21],"advantages":[23],"and":[24],"disadvantages":[25],"of":[26,33,39,45,67,103],"each":[27],"surrogate":[28,46,59],"models.":[29],"Moreover,":[30],"performance":[32],"models":[34,47],"depends":[35],"on":[36],"a":[37,57],"structure":[38],"original":[40],"function.":[41],"Therefore,":[42],"various":[43],"kinds":[44],"can":[48,62],"leads":[49],"to":[50],"better":[51],"results.":[52],"We":[53],"also":[54],"have":[55,77],"proposed":[56,78],"novel":[58],"model":[60,83],"which":[61,91],"estimate":[63],"only":[65],"rank":[66],"two":[68,101],"individuals":[69],"using":[70],"Support":[71],"Vector":[72],"Machine.":[73],"In":[74,96],"addition,":[75],"we":[76,99],"EC":[79],"framework":[80],"with":[81,108],"that":[82],"called":[84],"Landscape":[86],"Learning":[87],"(FLLEC)":[90],"has":[92],"shown":[93],"performance.":[95],"this":[97],"paper,":[98],"compared":[100],"type":[102],"evolution":[104],"control":[105],"FLLEC":[107],"computational":[110],"experiments.":[111]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
