{"id":"https://openalex.org/W2726088706","doi":"https://doi.org/10.1109/cec.2017.7969635","title":"A GPU-based implementation of brain storm optimization","display_name":"A GPU-based implementation of brain storm optimization","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2726088706","doi":"https://doi.org/10.1109/cec.2017.7969635","mag":"2726088706"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2017.7969635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Chen Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chen Jin","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006614329","display_name":"A. K. Qin","orcid":"https://orcid.org/0000-0001-6631-1651"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. K. Qin","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"2698","last_page":"2705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9904999732971191,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8217179775238037},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.7181836366653442},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6625463962554932},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6430885195732117},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.6179958581924438},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5563378930091858},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.5221291184425354},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.4282301366329193},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4159053564071655},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.410699725151062},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23493796586990356},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.10345855355262756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8217179775238037},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.7181836366653442},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6625463962554932},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6430885195732117},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.6179958581924438},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5563378930091858},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.5221291184425354},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.4282301366329193},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4159053564071655},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.410699725151062},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23493796586990356},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.10345855355262756},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":2,"locations":[{"id":"doi:10.1109/cec.2017.7969635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:a978b518-cf18-4612-ad9e-6f5b0b1f97c8/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/438503","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC), San Sebastian, Spain, 5-8 June, 2017, pp. 2698-2705","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W137929096","https://openalex.org/W191714665","https://openalex.org/W1545144002","https://openalex.org/W1555846838","https://openalex.org/W1762731526","https://openalex.org/W1981266826","https://openalex.org/W1982401581","https://openalex.org/W1983815113","https://openalex.org/W1984447710","https://openalex.org/W1991093619","https://openalex.org/W2006841864","https://openalex.org/W2074001187","https://openalex.org/W2088160862","https://openalex.org/W2093872789","https://openalex.org/W2099736725","https://openalex.org/W2166771168","https://openalex.org/W2182761707","https://openalex.org/W2257081743","https://openalex.org/W4285719527","https://openalex.org/W6607861299","https://openalex.org/W6686280248","https://openalex.org/W6692100837"],"related_works":["https://openalex.org/W66594024","https://openalex.org/W2119534391","https://openalex.org/W2503137108","https://openalex.org/W1966576946","https://openalex.org/W2023770367","https://openalex.org/W2765743988","https://openalex.org/W2062253548","https://openalex.org/W2393490604","https://openalex.org/W2393707426","https://openalex.org/W2229844714"],"abstract_inverted_index":{"Brain":[0],"storm":[1],"optimization":[2,122,131],"(BSO)":[3],"is":[4,28,60],"a":[5,36,61,104],"newly":[6],"emerging":[7],"family":[8],"of":[9,34,38,107,138],"swarm":[10],"intelligence":[11],"techniques":[12],"inspired":[13],"by":[14,30,54],"the":[15,46,57,66,135,139,146],"human's":[16],"creative":[17],"problem-solving":[18],"process,":[19],"which":[20,90],"has":[21],"achieved":[22],"successes":[23],"in":[24],"many":[25],"applications.":[26],"BSO":[27,59,108,143,150],"characterized":[29],"its":[31,71,121],"unique":[32],"process":[33],"grouping":[35],"population":[37,155],"ideas":[39,48],"and":[40,154],"carrying":[41],"out":[42],"brainstorming":[43],"based":[44,64],"on":[45,65,126],"grouped":[47],"to":[49,94,114,145],"search":[50],"for":[51,78],"optima":[52],"generation":[53],"generation.":[55],"Although":[56],"original":[58,147],"sequential":[62,149],"algorithm":[63],"central":[67],"processing":[68,83],"unit":[69],"(CPU),":[70],"major":[72],"algorithmic":[73],"modules":[74],"are":[75],"highly":[76],"suitable":[77],"parallelization.":[79],"Nowadays,":[80],"modern":[81],"graphic":[82],"units":[84],"(GPUs)":[85],"have":[86],"become":[87],"widely":[88],"affordable,":[89],"empower":[91],"personal":[92],"computers":[93],"undertake":[95],"massively":[96],"parallel":[97,142],"computing":[98],"tasks.":[99],"Therefore,":[100],"this":[101],"work":[102],"investigates":[103],"GPU-based":[105,141],"implementation":[106],"using":[109],"NVIDIA's":[110],"CUDA":[111],"technology,":[112],"aiming":[113],"accelerate":[115],"BSO's":[116],"computation":[117],"speed":[118],"while":[119],"maintaining":[120],"accuracy.":[123],"Experimental":[124],"results":[125],"30":[127],"CEC2014":[128],"single-objective":[129],"real-parameter":[130],"benchmark":[132],"problems":[133,153],"demonstrate":[134],"remarkable":[136],"speedups":[137],"proposed":[140],"compared":[144],"CPU-based":[148],"across":[151],"varying":[152],"sizes.":[156]},"counts_by_year":[{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
