{"id":"https://openalex.org/W2734935392","doi":"https://doi.org/10.1145/3067695.3075986","title":"Modified box constraint handling for the covariance matrix adaptation evolution strategy","display_name":"Modified box constraint handling for the covariance matrix adaptation evolution strategy","publication_year":2017,"publication_date":"2017-07-11","ids":{"openalex":"https://openalex.org/W2734935392","doi":"https://doi.org/10.1145/3067695.3075986","mag":"2734935392"},"language":"en","primary_location":{"id":"doi:10.1145/3067695.3075986","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3075986","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5089643881","display_name":"Naoki Sakamoto","orcid":"https://orcid.org/0000-0002-2794-6651"},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naoki Sakamoto","raw_affiliation_strings":["Shinshu University, Nagano, Japan"],"affiliations":[{"raw_affiliation_string":"Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038757231","display_name":"Youhei Akimoto","orcid":"https://orcid.org/0000-0003-2760-8123"},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Youhei Akimoto","raw_affiliation_strings":["Shinshu University, Nagano, Japan"],"affiliations":[{"raw_affiliation_string":"Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089643881"],"corresponding_institution_ids":["https://openalex.org/I137975476"],"apc_list":null,"apc_paid":null,"fwci":0.5192,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.72596415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9729999899864197,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9692000150680542,"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/penalty-method","display_name":"Penalty method","score":0.7578920125961304},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.7230295538902283},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.649550199508667},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.552783727645874},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5400655269622803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4792861342430115},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4697304964065552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4332628846168518},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.41870272159576416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3954225778579712}],"concepts":[{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.7578920125961304},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.7230295538902283},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.649550199508667},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.552783727645874},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5400655269622803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4792861342430115},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4697304964065552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4332628846168518},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.41870272159576416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3954225778579712},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1145/3067695.3075986","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3075986","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W7934506","https://openalex.org/W1559005923","https://openalex.org/W2104578628","https://openalex.org/W2138537392"],"related_works":["https://openalex.org/W2926551842","https://openalex.org/W3119219900","https://openalex.org/W2022594112","https://openalex.org/W1983957588","https://openalex.org/W2258123186","https://openalex.org/W2572601863","https://openalex.org/W3112846993","https://openalex.org/W4311761947","https://openalex.org/W1626396758","https://openalex.org/W2554071524"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,37,69,130,163,210],"modified":[3],"box":[4,18,88],"constraint":[5,19,89],"handling":[6,20,90],"technique":[7,91],"for":[8],"the":[9,22,43,47,53,58,63,75,83,86,98,102,110,135,139,144,147,151,154,157,167,170,174,182,189,192,196,202,216],"covariance":[10],"matrix":[11],"adaptation":[12,96,145],"evolution":[13],"strategy":[14],"(CMA-ES).":[15],"The":[16,115,178],"existing":[17],"turns":[21],"box-constrained":[23],"optimization":[24,29,116],"problem":[25],"into":[26],"an":[27,32],"unconstrained":[28],"by":[30],"introducing":[31],"artificial":[33],"fitness":[34],"landscape,":[35],"where":[36,215],"penalty":[38,54,99,122,148],"function":[39,44,65,72,104,112,141,211],"is":[40,117,127,185],"added":[41],"to":[42,129],"values":[45,142,184],"at":[46,162],"nearest":[48],"feasible":[49,76],"solutions.":[50],"By":[51],"adapting":[52],"coefficients,":[55],"that":[56,92,201],"determine":[57],"sensitivity":[59],"of":[60,85,97,134,138,146,153,166,181,191,195],"constraints":[61],"over":[62],"objective":[64,103,111,140,183],"value,":[66],"it":[67,93],"creates":[68],"reasonable":[70,121],"virtual":[71],"landscape":[73],"outside":[74],"domain.":[77],"In":[78,156],"this":[79],"paper,":[80],"we":[81,160],"address":[82],"issue":[84],"original":[87,217],"performs":[94],"slow":[95],"coefficients":[100,123,149],"when":[101,109,169],"scales":[105,113],"non-quadratically":[106],"in":[107,173],"particular":[108],"exponentially.":[114],"then":[118,186],"stagnated":[119],"until":[120],"are":[124],"achieved.":[125],"It":[126],"due":[128],"relatively":[131],"long":[132],"history":[133,168,175],"dispersion":[136,171,180],"measure":[137],"and":[143],"using":[150,188],"median":[152,190],"history.":[155,197],"proposed":[158,203],"algorithm,":[159],"look":[161],"recent":[164],"subsequence":[165,194],"measures":[172],"differ":[176],"significantly.":[177],"current":[179],"estimated":[187],"computed":[193],"Experimental":[198],"results":[199],"reveal":[200],"algorithm":[204,218],"can":[205],"converges":[206],"without":[207],"stagnation":[208],"on":[209],"with":[212],"exponential":[213],"factor,":[214],"exhibits":[219],"stagnation.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
