{"id":"https://openalex.org/W2151633220","doi":"https://doi.org/10.1109/cec.2011.5949614","title":"Proposal of distance-weighted exponential natural evolution strategies","display_name":"Proposal of distance-weighted exponential natural evolution strategies","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2151633220","doi":"https://doi.org/10.1109/cec.2011.5949614","mag":"2151633220"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2011.5949614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","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/A5004169275","display_name":"Nobusumi Fukushima","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nobusumi Fukushima","raw_affiliation_strings":["Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074972644","display_name":"Yuichi Nagata","orcid":"https://orcid.org/0000-0001-7582-2699"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Nagata","raw_affiliation_strings":["Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043986568","display_name":"Sigenobu Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sigenobu Kobayashi","raw_affiliation_strings":["Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085725359","display_name":"Isao Ono","orcid":"https://orcid.org/0009-0008-2110-9853"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Isao Ono","raw_affiliation_strings":["Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004169275"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":2.993,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92033613,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987999796867371,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9958000183105469,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8265848159790039},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.6941354274749756},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6096076965332031},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.593980073928833},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5235000252723694},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4947592616081238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48737484216690063},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4449290931224823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4226928949356079},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.4197513163089752},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.41243240237236023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3415565490722656},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32594698667526245},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.05986335873603821}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8265848159790039},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.6941354274749756},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6096076965332031},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.593980073928833},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5235000252723694},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4947592616081238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48737484216690063},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4449290931224823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4226928949356079},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.4197513163089752},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.41243240237236023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3415565490722656},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32594698667526245},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.05986335873603821},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2011.5949614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W1549072606","https://openalex.org/W1579744901","https://openalex.org/W1605438009","https://openalex.org/W1965543097","https://openalex.org/W1970789124","https://openalex.org/W1998510482","https://openalex.org/W2022192503","https://openalex.org/W2112036188","https://openalex.org/W2130990842","https://openalex.org/W2136495462","https://openalex.org/W2142508340","https://openalex.org/W2153508977","https://openalex.org/W2157701998","https://openalex.org/W2166160300","https://openalex.org/W2336687883","https://openalex.org/W4324106947"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2726551571","https://openalex.org/W2067732275","https://openalex.org/W1953762007","https://openalex.org/W2089165037","https://openalex.org/W4200518464"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,23],"new":[4],"evolutionary":[5],"algorithm":[6],"for":[7,45],"function":[8,76],"optimization":[9],"named":[10],"the":[11,26,43,49,52,62,67,71,82,90,107,111,116,135,139,151,156],"distance-weighted":[12],"exponential":[13,27],"natural":[14,28,112],"evolution":[15,29],"strategies":[16,30],"(DX-NES).":[17],"DX-NES":[18,119,133,144],"remedies":[19],"two":[20],"problems":[21],"of":[22,58,73,92,103,110,118,122],"conventional":[24],"method,":[25],"(xNES),":[31],"that":[32,61,89,121,132,143],"shows":[33],"good":[34],"performance":[35,117,147],"when":[36],"it":[37,78],"does":[38],"not":[39,100],"need":[40],"to":[41,51],"move":[42],"distribution":[44,68],"sampling":[46],"individuals":[47],"down":[48,70],"slope":[50,72],"optimal":[53,83],"point.":[54,84],"The":[55,85],"first":[56],"problem":[57,87],"xNES":[59,123,136],"is":[60,88],"search":[63],"efficiency":[64],"deteriorates":[65],"while":[66],"moves":[69],"an":[74],"ill-scaled":[75],"because":[77,97],"degenerates":[79],"before":[80],"reaching":[81],"second":[86],"settings":[91],"learning":[93],"rates":[94],"are":[95],"inappropriate":[96],"they":[98],"do":[99],"taking":[101],"account":[102],"some":[104],"factors":[105],"affecting":[106],"estimate":[108],"accuracy":[109],"gradient.":[113],"We":[114],"compared":[115],"with":[120],"and":[124,130,142],"CMA-ES":[125,149],"on":[126,137,150],"typical":[127],"benchmark":[128,140],"functions":[129,141,154],"confirmed":[131],"outperformed":[134],"all":[138,153],"showed":[145],"better":[146],"than":[148],"almost":[152],"except":[155],"k-tablet":[157],"function.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}