{"id":"https://openalex.org/W2070227239","doi":"https://doi.org/10.1109/icnc.2010.5582543","title":"Self-adaptive particle swarm optimization algorithm for global optimization","display_name":"Self-adaptive particle swarm optimization algorithm for global optimization","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2070227239","doi":"https://doi.org/10.1109/icnc.2010.5582543","mag":"2070227239"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2010.5582543","doi":"https://doi.org/10.1109/icnc.2010.5582543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5582543","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"International Conference on Natural Computation (ICNC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2070227239"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5021282997","display_name":"Feng Lu","orcid":"https://orcid.org/0000-0003-0247-6697","observed_orcids":["https://orcid.org/0000-0003-0247-6697"]},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Lu","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University, Shenyang, China","School of Information Science and Engineering,Northeastern University,Shenyang,China,110004)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Information Science and Engineering,Northeastern University,Shenyang,China,110004)","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090215145","display_name":"Yanfeng Ge","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanfeng Ge","raw_affiliation_strings":["Electric Power Company Limited, Shenyang, China","Electric Power Company Limited, Shenyang, China 110004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Company Limited, Shenyang, China","institution_ids":[]},{"raw_affiliation_string":"Electric Power Company Limited, Shenyang, China 110004","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004720047","display_name":"Liqun Gao","orcid":"https://orcid.org/0000-0001-5384-6219","observed_orcids":["https://orcid.org/0000-0001-5384-6219"]},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"LiQun Gao","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University, Shenyang, China","School of Information Science and Engineering,Northeastern University,Shenyang,China,110004)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Information Science and Engineering,Northeastern University,Shenyang,China,110004)","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2848,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38010887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"3","issue":null,"first_page":"2692","last_page":"2696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":1.0,"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":1.0,"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/T11946","display_name":"Antenna Design and Optimization","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.8980000019073486},{"id":"https://openalex.org/keywords/self-adaptive-inertia-weight","display_name":"self-adaptive inertia weight","score":0.9350000023841858},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"premature convergence","score":0.8799999952316284},{"id":"https://openalex.org/keywords/population-diversity","display_name":"population diversity","score":0.7829999923706055},{"id":"https://openalex.org/keywords/local-optima","display_name":"local optima","score":0.6290000081062317},{"id":"https://openalex.org/keywords/negative-feedback","display_name":"negative feedback","score":0.49300000071525574},{"id":"https://openalex.org/keywords/global-optimization","display_name":"global optimization","score":0.8550000190734863},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"continuous optimization","score":0.6510000228881836},{"id":"https://openalex.org/keywords/benchmark-functions","display_name":"benchmark functions","score":0.7519999742507935}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6622089743614197},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6528849005699158},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.646929144859314},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.6236929893493652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6020462512969971},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5614080429077148},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5544002652168274},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.522363007068634},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46088409423828125},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44643861055374146},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.44175249338150024},{"id":"https://openalex.org/C29282572","wikidata":"https://www.wikidata.org/wiki/Q16977029","display_name":"Derivative-free optimization","level":4,"score":0.4192698895931244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4184778332710266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23582792282104492},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2010.5582543","doi":"https://doi.org/10.1109/icnc.2010.5582543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5582543","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"International Conference on Natural Computation (ICNC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W23198321","https://openalex.org/W1543258308","https://openalex.org/W1708394971","https://openalex.org/W1820051232","https://openalex.org/W1997600725","https://openalex.org/W2109364787","https://openalex.org/W2139339670","https://openalex.org/W2145737320","https://openalex.org/W2146879413","https://openalex.org/W2152195021","https://openalex.org/W2165299997","https://openalex.org/W2169245194","https://openalex.org/W2543580944"],"related_works":["https://openalex.org/W2139287198","https://openalex.org/W2184433878","https://openalex.org/W2508205747","https://openalex.org/W2121931134","https://openalex.org/W26994809","https://openalex.org/W1982679530","https://openalex.org/W2571705423","https://openalex.org/W7130720143","https://openalex.org/W2380493470","https://openalex.org/W2898351082"],"abstract_inverted_index":{"Particle":[0],"swarm":[1,61],"optimization":[2,16,62],"(PSO)":[3],"algorithm":[4,54],"is":[5,27,55,141],"a":[6,34,51,144],"simple":[7],"yet":[8],"powerful":[9],"population-based":[10],"stochastic":[11],"search":[12,21],"technique":[13,128],"for":[14],"solving":[15,44],"problems":[17],"in":[18,64,164,167],"the":[19,24,69,82,85,89,92,95,100,107,112,116,122,131,135,170,173],"continuous":[20],"domain.":[22],"However,":[23],"canonical":[25],"PSO":[26,53],"more":[28],"likely":[29],"to":[30,40,97,158,163],"get":[31],"stuck":[32],"at":[33],"local":[35,103],"optimum":[36],"and":[37,72,105,125],"thereby":[38],"leads":[39],"premature":[41],"convergence":[42],"when":[43],"practical":[45],"problems.":[46],"To":[47],"overcome":[48],"such":[49],"inconvenience,":[50],"novel":[52],"reported":[56],"which":[57,129],"entitled":[58],"self-adaptive":[59],"particle":[60],"(SaPSO)":[63],"this":[65,165],"paper.":[66],"Sufficiently":[67],"analyzing":[68],"particles":[70,76],"state":[71],"dynamically":[73],"allocating":[74],"different":[75],"with":[77,99],"moderate":[78],"properties":[79],"without":[80],"increasing":[81],"population":[83,96],"size,":[84],"core":[86],"idea":[87],"of":[88,94,115,133,146,169,172],"schema,":[90],"maintain":[91],"diversity":[93],"cope":[98],"deception":[101],"multiple":[102],"optima":[104],"reduce":[106],"computational":[108],"complexity.":[109],"Self-adaptive":[110],"adjust":[111],"inertia":[113],"weight":[114],"velocity":[117],"update":[118],"rule":[119],"based":[120],"on":[121,143],"empirical":[123],"values":[124],"negative":[126],"feedback":[127],"relieve":[130],"burden":[132],"specifying":[134],"parameters":[136],"values.":[137],"The":[138,151],"new":[139],"method":[140],"tested":[142],"set":[145],"well-known":[147],"benchmark":[148],"test":[149],"functions.":[150],"simulation":[152],"results":[153],"suggest":[154],"that":[155],"it":[156],"outperforms":[157],"other":[159],"state-of-the-art":[160],"techniques":[161],"referred":[162],"paper":[166],"terms":[168],"quality":[171],"final":[174],"solutions.":[175]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}