{"id":"https://openalex.org/W2055416477","doi":"https://doi.org/10.1109/cec.2013.6557820","title":"Extending distance-weighted exponential natural evolution strategy for function optimization in uncertain environments","display_name":"Extending distance-weighted exponential natural evolution strategy for function optimization in uncertain environments","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2055416477","doi":"https://doi.org/10.1109/cec.2013.6557820","mag":"2055416477"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2013.6557820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","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/A5056899418","display_name":"Kazuyuki Masutomi","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":"Kazuyuki Masutomi","raw_affiliation_strings":["Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan","Interdiscipl. Grad. Sch. of Sci. & Eng., Tokyo Inst. of Technol., Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Interdiscipl. Grad. Sch. of Sci. & Eng., Tokyo Inst. of Technol., Yokohama, 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":["Tokyo Institute of Technology, Education Academy of Computational Life Sciences, Yokohama, Japan","Educ. Acad. of Comput. Life Sci., Tokyo Inst. of Technol., Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Education Academy of Computational Life Sciences, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Educ. Acad. of Comput. Life Sci., Tokyo Inst. of Technol., Yokohama, 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, Japan","Interdiscipl. Grad. Sch. of Sci. & Eng., Tokyo Inst. of Technol., Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Interdiscipl. Grad. Sch. of Sci. & Eng., Tokyo Inst. of Technol., Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056899418"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08968881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"2122","last_page":"2129"},"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":0.9975000023841858,"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":0.9941999912261963,"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/cma-es","display_name":"CMA-ES","score":0.8251407742500305},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6594815850257874},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5888646245002747},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5401533842086792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48864609003067017},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47086063027381897},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45866528153419495},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.45527806878089905},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.44772791862487793},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4234389662742615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3847351670265198},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3210042119026184},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.2889931797981262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1590692400932312}],"concepts":[{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.8251407742500305},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6594815850257874},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5888646245002747},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5401533842086792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48864609003067017},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47086063027381897},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45866528153419495},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.45527806878089905},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.44772791862487793},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4234389662742615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3847351670265198},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3210042119026184},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.2889931797981262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1590692400932312},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2013.6557820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W192154461","https://openalex.org/W1520168181","https://openalex.org/W1568229137","https://openalex.org/W1576660662","https://openalex.org/W1595159159","https://openalex.org/W1605438009","https://openalex.org/W1967969088","https://openalex.org/W1970789124","https://openalex.org/W1976442029","https://openalex.org/W2078848072","https://openalex.org/W2104578628","https://openalex.org/W2138135326","https://openalex.org/W2151633220","https://openalex.org/W2166160300","https://openalex.org/W2166843422","https://openalex.org/W6607770217","https://openalex.org/W6635845569"],"related_works":["https://openalex.org/W1492325323","https://openalex.org/W1579744901","https://openalex.org/W2510724351","https://openalex.org/W3087341323","https://openalex.org/W2465356436","https://openalex.org/W2552260697","https://openalex.org/W1564747859","https://openalex.org/W2078076985","https://openalex.org/W2592891920","https://openalex.org/W2072153706"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,38,81,105],"extended":[4,82,106],"variant":[5,83,107],"of":[6,64,84,108,149],"the":[7,118,132,136,150,156,160],"distance-weighted":[8],"exponential":[9],"natural":[10],"evolution":[11,45,161],"strategy":[12,46],"(DXNES)":[13],"that":[14,173,196],"works":[15],"well":[16],"in":[17,29,34,59,69],"uncertain":[18,27,35,70,73,87,98,113,168],"environments.":[19,61,71],"Since":[20],"we":[21,103,171],"often":[22],"face":[23],"objective":[24,119,144],"functions":[25],"with":[26,97,200],"parameters":[28],"real-world":[30],"problems,":[31,170],"function":[32,57,120,128,145,158],"optimization":[33,58],"environments":[36,88,114],"is":[37,138,152,198],"important":[39],"problem.":[40],"The":[41,62,72,147],"covariance":[42],"matrix":[43],"adaptation":[44],"(CMA-ES)":[47],"and":[48,89,159,194],"DX-NES":[49,109,111],"have":[50],"been":[51,78],"proposed":[52,79],"as":[53,80,181,184],"promising":[54],"methods":[55],"for":[56,86,112,130],"deterministic":[60],"performance":[63,94],"these":[65],"methods,":[66],"however,":[67],"deteriorates":[68],"handling":[74],"CMA-ES":[75,85],"(TIH-CMA-ES)":[76],"has":[77,90],"shown":[91],"relatively":[92],"good":[93],"on":[95,166],"problems":[96,193],"parameters.":[99],"In":[100],"this":[101],"paper,":[102],"propose":[104],"named":[110],"(DX-NES-TIE).":[115],"DX-NES-TIE":[116,174,190,197],"approximates":[117],"by":[121,154],"a":[122],"quadratic":[123],"function.":[124],"DXNES-TIE":[125],"uses":[126,142],"approximation":[127,157],"values":[129],"updating":[131],"mutation":[133],"distribution":[134],"if":[135],"noise":[137,151],"strong;":[139],"otherwise":[140],"it":[141],"observed":[143],"values.":[146],"strength":[148],"quantified":[153],"using":[155],"path.":[162],"Through":[163],"numerical":[164],"experiments":[165],"20-dimensional":[167],"benchmark":[169],"demonstrate":[172],"can":[175],"find":[176],"ten":[177],"to":[178,191,202],"2,000":[179],"times":[180],"accurate":[182],"solutions":[183],"TIH-CMA-ES":[185],"can.":[186],"We":[187],"also":[188],"apply":[189],"80-dimensional":[192],"confirm":[195],"scalable":[199],"respect":[201],"problem":[203],"dimensionality.":[204]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
