{"id":"https://openalex.org/W2797854610","doi":"https://doi.org/10.1109/access.2018.2811542","title":"Locating Multiple Optima via Brain Storm Optimization Algorithms","display_name":"Locating Multiple Optima via Brain Storm Optimization Algorithms","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2797854610","doi":"https://doi.org/10.1109/access.2018.2811542","mag":"2797854610"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2811542","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2811542","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2811542","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024454462","display_name":"Shi Cheng","orcid":"https://orcid.org/0000-0002-5129-995X"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Cheng","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi\u2019an, China","School of Computer Science, Shaanxi Normal University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-5129-995X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi\u2019an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi'an, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089231151","display_name":"Junfeng Chen","orcid":"https://orcid.org/0000-0002-3642-007X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Chen","raw_affiliation_strings":["College of IOT Engineering, Hohai University, Changzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of IOT Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058768577","display_name":"Xiujuan Lei","orcid":"https://orcid.org/0000-0002-9901-1732"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujuan Lei","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi\u2019an, China","School of Computer Science, Shaanxi Normal University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi\u2019an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi'an, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000919145","display_name":"Yuhui Shi","orcid":"https://orcid.org/0000-0002-8840-723X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Shi","raw_affiliation_strings":["Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.9483,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92852629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"17039","last_page":"17049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9596999883651733,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.6486595869064331},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6047368049621582},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5984501838684082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5944066643714905},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5701578855514526},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5691603422164917},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.47537556290626526},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4740419387817383},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.45329660177230835},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.4169144332408905},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.3826664686203003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27067747712135315}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6486595869064331},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6047368049621582},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5984501838684082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5944066643714905},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5701578855514526},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5691603422164917},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.47537556290626526},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4740419387817383},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.45329660177230835},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.4169144332408905},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.3826664686203003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27067747712135315},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2811542","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2811542","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:46d017a5439e4568bc70a973101bc824","is_oa":true,"landing_page_url":"https://doaj.org/article/46d017a5439e4568bc70a973101bc824","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 17039-17049 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2811542","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2811542","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1326221367","display_name":null,"funder_award_id":"61773119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1909330588","display_name":"\u793e\u4ea4\u7f51\u7edc\u73af\u5883\u4e0b\u7528\u6237\u4e2a\u6027\u5316\u9700\u6c42\u7684\u670d\u52a1\u53d1\u73b0\u4e0e\u805a\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771297","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2633930839","display_name":null,"funder_award_id":"61403121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4064731227","display_name":null,"funder_award_id":"GK201703062","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7417567555","display_name":"\u52a8\u6001\u86cb\u767d\u8d28\u7f51\u7edc\u590d\u5408\u7269\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76\u53ca\u5176\u5e94\u7528","funder_award_id":"61672334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8713787551","display_name":null,"funder_award_id":"2015B20214","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W137929096","https://openalex.org/W1535723536","https://openalex.org/W1545144002","https://openalex.org/W1554671787","https://openalex.org/W1875348914","https://openalex.org/W1965392777","https://openalex.org/W1968005908","https://openalex.org/W1970947727","https://openalex.org/W1988383064","https://openalex.org/W1990180092","https://openalex.org/W1998615420","https://openalex.org/W2011733579","https://openalex.org/W2013458222","https://openalex.org/W2047110696","https://openalex.org/W2060203686","https://openalex.org/W2089777571","https://openalex.org/W2090259112","https://openalex.org/W2092925552","https://openalex.org/W2111811973","https://openalex.org/W2139386984","https://openalex.org/W2142031065","https://openalex.org/W2144341408","https://openalex.org/W2152100799","https://openalex.org/W2159308419","https://openalex.org/W2303023739","https://openalex.org/W2342523745","https://openalex.org/W2345208410","https://openalex.org/W2527572108","https://openalex.org/W2724956647","https://openalex.org/W2728321166","https://openalex.org/W2750534491","https://openalex.org/W2769414579","https://openalex.org/W2888116581","https://openalex.org/W4231461647","https://openalex.org/W4232342035","https://openalex.org/W4246849239","https://openalex.org/W4250090487","https://openalex.org/W6740026313","https://openalex.org/W6740095282","https://openalex.org/W6753870558"],"related_works":["https://openalex.org/W1990141053","https://openalex.org/W2116668501","https://openalex.org/W2211452270","https://openalex.org/W50211061","https://openalex.org/W3109317619","https://openalex.org/W2217226007","https://openalex.org/W2373085002","https://openalex.org/W1983027319","https://openalex.org/W2322270513","https://openalex.org/W2885739335"],"abstract_inverted_index":{"Locating":[0],"multiple":[1],"optima/peaks":[2],"in":[3,38,48,63,78],"a":[4,16],"single":[5],"run":[6,17],"and":[7,46,75,86,114],"maintaining":[8],"these":[9],"found":[10],"optima":[11],"until":[12],"the":[13,19,101,110],"end":[14],"of":[15,21,26,88,118],"is":[18],"goal":[20],"multimodal":[22,60,94,128],"optimization.":[23],"Three":[24],"variants":[25],"brain":[27],"storm":[28],"optimization":[29,61,95,129],"(BSO)":[30],"algorithms,":[31],"which":[32],"include":[33],"original":[34],"BSO":[35,37,47,90],"algorithm,":[36],"objective":[39,49],"space":[40,50],"algorithm":[41,51,120],"with":[42,52],"Gaussian":[43],"random":[44,54],"variable,":[45,55],"Cauchy":[53],"were":[56,69,97],"utilized":[57],"to":[58,122],"solve":[59],"problems":[62,74,96],"this":[64],"paper.":[65],"The":[66,84,104],"experimental":[67,102],"tests":[68],"conducted":[70],"on":[71,92,100,126],"eight":[72],"benchmark":[73],"its":[76],"applications":[77],"seven":[79],"nonlinear":[80],"equation":[81],"system":[82],"problems.":[83,130],"performance":[85],"effectiveness":[87],"various":[89],"algorithms":[91],"solving":[93,127],"validated":[98],"based":[99],"results.":[103],"conclusions":[105],"could":[106],"be":[107,123],"made":[108],"that":[109],"global":[111],"search":[112],"ability":[113,117],"solutions":[115],"maintenance":[116],"an":[119],"needs":[121],"balanced":[124],"simultaneously":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
