{"id":"https://openalex.org/W3194307611","doi":"https://doi.org/10.3390/a14080239","title":"Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism","display_name":"Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3194307611","doi":"https://doi.org/10.3390/a14080239","mag":"3194307611"},"language":"en","primary_location":{"id":"doi:10.3390/a14080239","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a14080239","pdf_url":"https://www.mdpi.com/1999-4893/14/8/239/pdf?version=1629868028","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/14/8/239/pdf?version=1629868028","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087985997","display_name":"Zhenyu Song","orcid":null},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Song","raw_affiliation_strings":["College of Computer Science and Technology, Taizhou University, Taizhou 225300, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taizhou University, Taizhou 225300, China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013047946","display_name":"Xuemei Yan","orcid":"https://orcid.org/0009-0001-2942-9738"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Yan","raw_affiliation_strings":["College of Computer Science and Technology, Taizhou University, Taizhou 225300, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taizhou University, Taizhou 225300, China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090664531","display_name":"Lvxing Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lvxing Zhao","raw_affiliation_strings":["College of Computer Science and Technology, Taizhou University, Taizhou 225300, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taizhou University, Taizhou 225300, China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034834338","display_name":"Luyi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyi Fan","raw_affiliation_strings":["College of Computer Science and Technology, Taizhou University, Taizhou 225300, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taizhou University, Taizhou 225300, China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063206759","display_name":"Cheng Tang","orcid":"https://orcid.org/0000-0002-8148-1509"},"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":"Cheng Tang","raw_affiliation_strings":["Faculty of Engineering, University of Toyama, Toyama-shi 930-8555, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama, Toyama-shi 930-8555, Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046906366","display_name":"Junkai Ji","orcid":"https://orcid.org/0000-0002-1985-938X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junkai Ji","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046906366"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.2799,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64037094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"14","issue":"8","first_page":"239","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9980000257492065,"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":0.9980000257492065,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9958999752998352,"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/T12676","display_name":"Machine Learning and ELM","score":0.9905999898910522,"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/local-optimum","display_name":"Local optimum","score":0.7772803902626038},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6827869415283203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6496897339820862},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6027362942695618},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5451636910438538},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5214223861694336},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4911591708660126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4696311950683594},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.46758508682250977},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4368163049221039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1753278374671936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17155563831329346},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11226513981819153},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.09733065962791443}],"concepts":[{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.7772803902626038},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6827869415283203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6496897339820862},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6027362942695618},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5451636910438538},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5214223861694336},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4911591708660126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4696311950683594},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.46758508682250977},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4368163049221039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1753278374671936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17155563831329346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11226513981819153},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.09733065962791443},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a14080239","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a14080239","pdf_url":"https://www.mdpi.com/1999-4893/14/8/239/pdf?version=1629868028","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ee86832f961b4191a4142d84e25c6c1d","is_oa":true,"landing_page_url":"https://doaj.org/article/ee86832f961b4191a4142d84e25c6c1d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 14, Iss 8, p 239 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/14/8/239/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a14080239","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 14; Issue 8; Pages: 239","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a14080239","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a14080239","pdf_url":"https://www.mdpi.com/1999-4893/14/8/239/pdf?version=1629868028","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G2245294012","display_name":null,"funder_award_id":"TZXY2018QDJJ006","funder_id":"https://openalex.org/F4320329360","funder_display_name":"Taizhou University"},{"id":"https://openalex.org/G3541149267","display_name":"Syntheses of new ladder molecules and exploration of their electrical and optical properties","funder_award_id":"1802274","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7747859318","display_name":"UNS:  Interfacial Flows Driven by Antisymmetric Stresses in Ferrofluids","funder_award_id":"1511113","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320329360","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194307611.pdf","grobid_xml":"https://content.openalex.org/works/W3194307611.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W137929096","https://openalex.org/W246380326","https://openalex.org/W270986976","https://openalex.org/W1137793896","https://openalex.org/W1792666317","https://openalex.org/W1935803921","https://openalex.org/W1965405365","https://openalex.org/W2046609661","https://openalex.org/W2050685121","https://openalex.org/W2057567352","https://openalex.org/W2071853901","https://openalex.org/W2072245049","https://openalex.org/W2076997735","https://openalex.org/W2104444668","https://openalex.org/W2137340504","https://openalex.org/W2145113795","https://openalex.org/W2146713522","https://openalex.org/W2152195021","https://openalex.org/W2152254020","https://openalex.org/W2156194072","https://openalex.org/W2165466912","https://openalex.org/W2290883490","https://openalex.org/W2328748047","https://openalex.org/W2402907396","https://openalex.org/W2474404500","https://openalex.org/W2543580944","https://openalex.org/W2553852618","https://openalex.org/W2602484474","https://openalex.org/W2612473079","https://openalex.org/W2637506807","https://openalex.org/W2753329290","https://openalex.org/W2776356831","https://openalex.org/W2791167534","https://openalex.org/W2804835344","https://openalex.org/W2888351819","https://openalex.org/W2890111090","https://openalex.org/W2890824192","https://openalex.org/W2915596699","https://openalex.org/W2923467929","https://openalex.org/W3017210342","https://openalex.org/W3026986712","https://openalex.org/W3127501260","https://openalex.org/W3129259175","https://openalex.org/W3135617126","https://openalex.org/W3137450444","https://openalex.org/W4238076109","https://openalex.org/W6682642761"],"related_works":["https://openalex.org/W2123829500","https://openalex.org/W2305572622","https://openalex.org/W4283765137","https://openalex.org/W4317496694","https://openalex.org/W3174749984","https://openalex.org/W2887485518","https://openalex.org/W1655912143","https://openalex.org/W2560221187","https://openalex.org/W4287021660","https://openalex.org/W2143668930"],"abstract_inverted_index":{"Brain-storm":[0],"optimization":[1,7,122],"(BSO),":[2],"which":[3],"is":[4],"a":[5,10,17,150],"population-based":[6],"algorithm,":[8,74,99],"exhibits":[9],"poor":[11],"search":[12,42,50,55,66],"performance,":[13],"premature":[14],"convergence,":[15],"and":[16,67,84,93,109,112,137],"high":[18],"probability":[19],"of":[20,48,71,95,119,135,144],"falling":[21,80],"into":[22,81],"local":[23,41,54,68,82],"optima.":[24],"To":[25,89],"address":[26],"these":[27],"problems,":[28],"we":[29],"developed":[30],"the":[31,39,49,53,64,72,77,91,96,100,110,130,142],"adaptive":[32,60],"mechanism-based":[33],"BSO":[34],"(ABSO)":[35],"algorithm":[36,78],"based":[37,57],"on":[38,58],"chaotic":[40],"in":[43,133],"this":[44],"study.":[45],"The":[46,124],"adjustment":[47],"space":[51],"using":[52,104],"method":[56],"an":[59],"self-scaling":[61],"mechanism":[62],"balances":[63],"global":[65],"development":[69],"performance":[70,101,143],"ABSO":[73,98,128,145],"effectively":[75],"preventing":[76],"from":[79],"optima":[83],"improving":[85],"its":[86],"convergence":[87,138],"accuracy.":[88,139],"verify":[90],"stability":[92,136],"effectiveness":[94],"proposed":[97],"was":[102,146],"tested":[103],"29":[105],"benchmark":[106],"test":[107],"functions,":[108],"mean":[111],"standard":[113],"deviation":[114],"were":[115],"compared":[116],"with":[117],"those":[118],"five":[120],"other":[121,131],"algorithms.":[123],"results":[125],"showed":[126],"that":[127],"outperforms":[129],"algorithms":[132],"terms":[134],"In":[140],"addition,":[141],"further":[147],"verified":[148],"through":[149],"nonparametric":[151],"statistical":[152],"test.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2021-08-30T00:00:00"}