{"id":"https://openalex.org/W2344603747","doi":"https://doi.org/10.5220/0005703201050116","title":"Evolution Strategies and Covariance Matrix Adaptation - Investigating New Shrinkage Techniques","display_name":"Evolution Strategies and Covariance Matrix Adaptation - Investigating New Shrinkage Techniques","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2344603747","doi":"https://doi.org/10.5220/0005703201050116","mag":"2344603747"},"language":"en","primary_location":{"id":"doi:10.5220/0005703201050116","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005703201050116","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005703201050116","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003211562","display_name":"Silja Meyer-Nieberg","orcid":"https://orcid.org/0000-0002-2110-7902"},"institutions":[{"id":"https://openalex.org/I40527276","display_name":"Universit\u00e4t der Bundeswehr M\u00fcnchen","ror":"https://ror.org/05kkv3f82","country_code":"DE","type":"education","lineage":["https://openalex.org/I1315109972","https://openalex.org/I40527276","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Silja Meyer-Nieberg","raw_affiliation_strings":["Universit\u00e4t der Bundeswehr M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e4t der Bundeswehr M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I40527276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047476002","display_name":"Erik Kropat","orcid":"https://orcid.org/0000-0002-0551-9747"},"institutions":[{"id":"https://openalex.org/I40527276","display_name":"Universit\u00e4t der Bundeswehr M\u00fcnchen","ror":"https://ror.org/05kkv3f82","country_code":"DE","type":"education","lineage":["https://openalex.org/I1315109972","https://openalex.org/I40527276","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erik Kropat","raw_affiliation_strings":["Universit\u00e4t der Bundeswehr M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e4t der Bundeswehr M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I40527276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8833,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83623342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9909999966621399,"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":0.9909999966621399,"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":0.9868000149726868,"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/T10320","display_name":"Neural Networks and Applications","score":0.9760000109672546,"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/cma-es","display_name":"CMA-ES","score":0.9339057803153992},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.7850378751754761},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6754121780395508},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.6575775146484375},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6025271415710449},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5873822569847107},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.581512451171875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5771751403808594},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5686862468719482},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5012247562408447},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.4775194227695465},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4692779779434204},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43270987272262573},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.428352952003479},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42400622367858887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3081042468547821},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30712395906448364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2676817774772644},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18133807182312012}],"concepts":[{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.9339057803153992},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.7850378751754761},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6754121780395508},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.6575775146484375},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6025271415710449},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5873822569847107},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.581512451171875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5771751403808594},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5686862468719482},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5012247562408447},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.4775194227695465},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4692779779434204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43270987272262573},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.428352952003479},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42400622367858887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3081042468547821},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30712395906448364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2676817774772644},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18133807182312012},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005703201050116","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005703201050116","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005703201050116","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005703201050116","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W1163516446","https://openalex.org/W1482756110","https://openalex.org/W1492325323","https://openalex.org/W1514875444","https://openalex.org/W1565012712","https://openalex.org/W1584454155","https://openalex.org/W1834188165","https://openalex.org/W1943536803","https://openalex.org/W1990512452","https://openalex.org/W1990974373","https://openalex.org/W2032783896","https://openalex.org/W2062125287","https://openalex.org/W2119963163","https://openalex.org/W2149673004","https://openalex.org/W2164414557","https://openalex.org/W2208154600","https://openalex.org/W2235047952","https://openalex.org/W3123612062","https://openalex.org/W3124158341"],"related_works":["https://openalex.org/W2572601863","https://openalex.org/W2360922653","https://openalex.org/W2926551842","https://openalex.org/W1976318097","https://openalex.org/W4303684144","https://openalex.org/W2022594112","https://openalex.org/W1626396758","https://openalex.org/W4311761947","https://openalex.org/W4211082860","https://openalex.org/W2096419081"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"the":[3,16,20,23,30,47,50,53,69,72],"covariance":[4,24],"matrix":[5,25],"adaptation":[6],"in":[7,44,80,107],"evolution":[8,103],"strategies,":[9],"a":[10,108],"central":[11],"and":[12,97,105],"essential":[13],"mechanism":[14],"for":[15],"search":[17,31],"process.":[18],"Basing":[19],"estimation":[21],"of":[22,52,71,110],"on":[26,86],"small":[27],"samples":[28],"w.r.t.":[29],"space":[32],"dimension":[33],"is":[34,42],"known":[35],"to":[36,67],"be":[37,57],"problematic.":[38],"However,":[39,75],"this":[40],"situation":[41],"common":[43],"optimization":[45],"raising":[46],"question,":[48],"whether":[49],"performance":[51],"evolutionary":[54,81],"algorithms":[55],"could":[56],"improved.":[58],"In":[59],"statistics,":[60],"several":[61],"approaches":[62,96],"have":[63],"been":[64],"developed":[65],"recently":[66],"improve":[68],"quality":[70],"maximum-likelihood":[73],"estimate.":[74],"they":[76],"are":[77,100],"seldom":[78],"applied":[79],"computation.":[82],"Here,":[83],"we":[84],"focus":[85],"linear":[87],"shrinkage":[88,98],"which":[89],"requires":[90],"relatively":[91],"little":[92],"additional":[93],"effort.":[94],"Several":[95],"targets":[99],"integrated":[101],"into":[102],"strategies":[104],"analyzed":[106],"series":[109],"experiments.":[111]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}