{"id":"https://openalex.org/W4313495902","doi":"https://doi.org/10.1109/scisisis55246.2022.10001965","title":"A Covariance Matrix Adaptation Evolution Strategy-based Manta Ray Foraging optimization","display_name":"A Covariance Matrix Adaptation Evolution Strategy-based Manta Ray Foraging optimization","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4313495902","doi":"https://doi.org/10.1109/scisisis55246.2022.10001965"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis55246.2022.10001965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis55246.2022.10001965","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","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":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","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/A5100383891","display_name":"Qianqian Li","orcid":"https://orcid.org/0000-0001-9759-7621"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qianqian Li","raw_affiliation_strings":["University of Toyama,Faculty of Engineering,Toyama,Japan","Faculty of Engineering, University of Toyama, Toyama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toyama,Faculty of Engineering,Toyama,Japan","institution_ids":["https://openalex.org/I42766147"]},{"raw_affiliation_string":"Faculty of Engineering, University of Toyama, Toyama, Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076266342","display_name":"Tongyan Liu","orcid":"https://orcid.org/0000-0001-5677-4513"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tongyan Liu","raw_affiliation_strings":["University of Toyama,Faculty of Engineering,Toyama,Japan","Faculty of Engineering, University of Toyama, Toyama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toyama,Faculty of Engineering,Toyama,Japan","institution_ids":["https://openalex.org/I42766147"]},{"raw_affiliation_string":"Faculty of Engineering, University of Toyama, Toyama, Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104175670","display_name":"Houtian He","orcid":"https://orcid.org/0009-0000-9513-6549"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Houtian He","raw_affiliation_strings":["University of Toyama,Faculty of Engineering,Toyama,Japan","Faculty of Engineering, University of Toyama, Toyama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toyama,Faculty of Engineering,Toyama,Japan","institution_ids":["https://openalex.org/I42766147"]},{"raw_affiliation_string":"Faculty of Engineering, University of Toyama, Toyama, Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115597247","display_name":"Kaiyu Wang","orcid":"https://orcid.org/0009-0007-8805-1839"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaiyu Wang","raw_affiliation_strings":["University of Toyama,Faculty of Engineering,Toyama,Japan","Faculty of Engineering, University of Toyama, Toyama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toyama,Faculty of Engineering,Toyama,Japan","institution_ids":["https://openalex.org/I42766147"]},{"raw_affiliation_string":"Faculty of Engineering, University of Toyama, Toyama, Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010245958","display_name":"Shangce Gao","orcid":"https://orcid.org/0000-0001-5042-3261"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shangce Gao","raw_affiliation_strings":["University of Toyama,Faculty of Engineering,Toyama,Japan","Faculty of Engineering, University of Toyama, Toyama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toyama,Faculty of Engineering,Toyama,Japan","institution_ids":["https://openalex.org/I42766147"]},{"raw_affiliation_string":"Faculty of Engineering, University of Toyama, Toyama, Japan","institution_ids":["https://openalex.org/I42766147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3194,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53480842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9422268867492676},{"id":"https://openalex.org/keywords/foraging","display_name":"Foraging","score":0.7129675149917603},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6285951137542725},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6182307004928589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5538312196731567},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.5443212389945984},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4742664098739624},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.44267791509628296},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28021806478500366},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.2635684907436371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.239576518535614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2329937219619751},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.21308934688568115},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.17084059119224548},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1546986699104309}],"concepts":[{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.9422268867492676},{"id":"https://openalex.org/C165287380","wikidata":"https://www.wikidata.org/wiki/Q2916569","display_name":"Foraging","level":2,"score":0.7129675149917603},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6285951137542725},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6182307004928589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5538312196731567},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.5443212389945984},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4742664098739624},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.44267791509628296},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28021806478500366},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.2635684907436371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.239576518535614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2329937219619751},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.21308934688568115},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.17084059119224548},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1546986699104309},{"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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis55246.2022.10001965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis55246.2022.10001965","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","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":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2112036188","https://openalex.org/W2117084098","https://openalex.org/W2138537392","https://openalex.org/W2152195021","https://openalex.org/W2169064301","https://openalex.org/W2543580944","https://openalex.org/W2614573232","https://openalex.org/W2781951010","https://openalex.org/W2790368141","https://openalex.org/W2794711922","https://openalex.org/W2805172798","https://openalex.org/W2810255841","https://openalex.org/W2895380069","https://openalex.org/W2912733464","https://openalex.org/W2982453621","https://openalex.org/W3005448316","https://openalex.org/W3090396243","https://openalex.org/W3131207985","https://openalex.org/W3165870816","https://openalex.org/W3206238464","https://openalex.org/W3211434935","https://openalex.org/W3212797097","https://openalex.org/W4200450421","https://openalex.org/W4205549215","https://openalex.org/W4205699222","https://openalex.org/W4210580908","https://openalex.org/W4223997639","https://openalex.org/W4281396856","https://openalex.org/W4292083457"],"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/W2926551842","https://openalex.org/W2022594112","https://openalex.org/W4211082860"],"abstract_inverted_index":{"Covariance":[0],"matrix":[1],"adaptive":[2],"evolution":[3],"strategy":[4,11],"(CMAES)":[5],"is":[6,20,41],"an":[7,42],"excellent":[8],"local":[9,32,74],"search":[10,75],"that":[12,100],"does":[13],"not":[14],"rely":[15],"on":[16],"gradient":[17],"information.":[18],"It":[19],"widely":[21],"used":[22],"in":[23],"real-valued":[24],"optimization":[25,39,63],"because":[26],"it":[27],"fast":[28],"converges":[29],"to":[30,71,82,92],"the":[31,47,73,94,101],"optimum.":[33],"In":[34,65],"addition,":[35],"manta":[36,48],"ray":[37],"foraging":[38,52],"(MRFO)":[40],"evolutionary":[43],"algorithm":[44],"inspired":[45],"by":[46],"rays\u2019":[49],"three":[50],"particular":[51],"strategies":[53],"which":[54],"can":[55],"carry":[56],"out":[57],"a":[58],"good":[59],"solution":[60],"for":[61],"global":[62],"problems.":[64],"this":[66],"paper,":[67],"we":[68],"use":[69],"CMAES":[70],"strengthen":[72],"ability":[76],"of":[77],"MRFO":[78],"and":[79,109],"propose":[80],"CMAES-MRFO":[81,103],"generate":[83],"better":[84],"solutions.":[85],"The":[86],"CEC\u20192017":[87],"benchmark":[88],"functions":[89],"are":[90],"employed":[91],"test":[93],"hybrid":[95],"algorithm.":[96],"Experimental":[97],"results":[98],"show":[99],"proposed":[102],"significantly":[104],"outperforms":[105],"its":[106],"original":[107],"algorithms":[108],"some":[110],"other":[111],"newly-coming":[112],"ones.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
