{"id":"https://openalex.org/W2957820117","doi":"https://doi.org/10.1145/3319619.3321965","title":"Collaborative diversity control strategy for random drift particle swarm optimization","display_name":"Collaborative diversity control strategy for random drift particle swarm optimization","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2957820117","doi":"https://doi.org/10.1145/3319619.3321965","mag":"2957820117"},"language":"en","primary_location":{"id":"doi:10.1145/3319619.3321965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3321965","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"https://openalex.org/A5100323245","display_name":"Chao Li","orcid":"https://orcid.org/0000-0003-0119-1702"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327203","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-9824-4294"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076935774","display_name":"Vasile Palade","orcid":"https://orcid.org/0000-0002-6768-8394"},"institutions":[{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vasile Palade","raw_affiliation_strings":["Coventry University, Coventry, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coventry University, Coventry, UK","institution_ids":["https://openalex.org/I73417466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039622015","display_name":"Qidong Chen","orcid":"https://orcid.org/0000-0001-9434-4979"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qidong Chen","raw_affiliation_strings":["Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018503668","display_name":"Wei Fang","orcid":"https://orcid.org/0000-0003-0750-4749"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fang","raw_affiliation_strings":["Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06412583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9983999729156494,"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":0.9983999729156494,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9829000234603882,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9746000170707703,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7869998216629028},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.6338793635368347},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.6216228008270264},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6204850673675537},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6051670908927917},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.5761381983757019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5741872787475586},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5429607629776001},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4279487729072571},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25931811332702637}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7869998216629028},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.6338793635368347},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6216228008270264},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6204850673675537},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6051670908927917},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.5761381983757019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741872787475586},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5429607629776001},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4279487729072571},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25931811332702637},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319619.3321965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3321965","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1536956883","https://openalex.org/W1680797894","https://openalex.org/W1896558367","https://openalex.org/W2152100799","https://openalex.org/W2169245194","https://openalex.org/W2917884856"],"related_works":["https://openalex.org/W4308079021","https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2133833450","https://openalex.org/W1527337688","https://openalex.org/W2349895019","https://openalex.org/W2399799070","https://openalex.org/W2070977815","https://openalex.org/W2568269143","https://openalex.org/W2379567910"],"abstract_inverted_index":{"Random":[0],"drift":[1],"particle":[2,19],"swarm":[3,8,20],"optimization":[4,21,49,146],"(RDPSO)":[5],"is":[6,66],"a":[7,58,84,104],"intelligence":[9],"algorithm":[10,40,143],"inspired":[11],"by":[12],"the":[13,17,24,38,89,93,116,120,129,138,141],"trajectory":[14],"analysis":[15],"of":[16,76,92,140],"canonical":[18,117,121],"(PSO)":[22],"and":[23,81,103,119],"free":[25],"electron":[26],"model":[27],"in":[28,32,68,83,148],"metal":[29],"conductors":[30],"placed":[31],"an":[33],"external":[34],"electric":[35],"field.":[36],"However,":[37],"RDPSO":[39,65,94,118,122,142],"may":[41],"easily":[42],"encounter":[43],"premature":[44,98],"convergence":[45,99],"when":[46,113],"solving":[47],"multimodal":[48,145],"problems.":[50],"In":[51],"order":[52],"to":[53,87],"deal":[54],"with":[55,115],"this":[56,69,72],"issue,":[57],"new":[59],"collaborative":[60,85,131],"diversity":[61,77,132],"control":[62,133],"strategy":[63,134],"for":[64,144],"presented":[67],"paper.":[70],"Within":[71],"strategy,":[73],"two":[74],"kinds":[75],"measures":[78],"are":[79],"used":[80],"changed":[82],"manner":[86],"make":[88],"evolving":[90],"process":[91],"controllable,":[95],"so":[96],"that":[97,128],"can":[100,108,135],"be":[101,109],"avoided":[102],"final":[105],"good":[106],"solution":[107],"found.":[110],"Experimental":[111],"results,":[112],"comparing":[114],"using":[123],"ring":[124],"neighborhood":[125],"topology,":[126],"show":[127],"proposed":[130],"significantly":[136],"improve":[137],"performance":[139],"problems":[147],"most":[149],"cases.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
