{"id":"https://openalex.org/W4401414780","doi":"https://doi.org/10.1109/cec60901.2024.10611979","title":"A Triple Network Knowledge Learning Framework for Particle Swarm Optimization","display_name":"A Triple Network Knowledge Learning Framework for Particle Swarm Optimization","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401414780","doi":"https://doi.org/10.1109/cec60901.2024.10611979"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10611979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10611979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","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/A5100423061","display_name":"Zhao Zhang","orcid":"https://orcid.org/0009-0007-4969-4452"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology,National Key Lab of Autonomous Intelligent Unmanned Systems,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology,National Key Lab of Autonomous Intelligent Unmanned Systems,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010277466","display_name":"Lingda Wang","orcid":"https://orcid.org/0000-0003-0848-6650"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingda Wang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology,National Key Lab of Autonomous Intelligent Unmanned Systems,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology,National Key Lab of Autonomous Intelligent Unmanned Systems,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418463","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0002-5429-6228"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology,National Key Lab of Autonomous Intelligent Unmanned Systems,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology,National Key Lab of Autonomous Intelligent Unmanned Systems,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100423061"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65440426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9861999750137329,"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":0.9702000021934509,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7681647539138794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6642072796821594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4620252549648285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32433009147644043}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7681647539138794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6642072796821594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4620252549648285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32433009147644043}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10611979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10611979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1595159159","https://openalex.org/W2019198709","https://openalex.org/W2077248243","https://openalex.org/W2097128895","https://openalex.org/W2108388069","https://openalex.org/W2131774270","https://openalex.org/W2152195021","https://openalex.org/W2325018647","https://openalex.org/W2953444249","https://openalex.org/W2963358003","https://openalex.org/W2979736100","https://openalex.org/W3184980526","https://openalex.org/W4381983181"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Evolutionary":[0],"computing":[1],"(EC),":[2],"as":[3],"a":[4,23,91],"metaheuristic":[5],"algorithm,":[6],"is":[7],"widely":[8],"applied":[9],"in":[10,54,62,67,82],"optimization":[11,19,76],"problems":[12],"due":[13],"to":[14,49,98,155,159],"its":[15,172],"effectiveness.":[16],"During":[17],"the":[18,36,51,64,83,100,110,113,118,121,126,156,166,181,186],"process":[20],"of":[21,26,117,185],"EC,":[22],"large":[24],"amount":[25],"data":[27,43],"will":[28],"be":[29],"generated,":[30],"which":[31],"contains":[32],"rich":[33],"information":[34],"on":[35],"evolutionary":[37,47],"process.":[38],"Mining":[39],"and":[40,70,78,102,125,141,171,183],"utilizing":[41],"these":[42,139,152],"can":[44],"learn":[45,135],"promising":[46],"knowledge":[48,85,94,104,137],"assist":[50],"EC":[52],"algorithms":[53],"achieving":[55],"more":[56],"efficient":[57],"evolution.":[58,162],"First,":[59],"we":[60,89,164],"analyze":[61],"detail":[63],"key":[65],"differences":[66],"collecting":[68],"experience":[69,116],"guiding":[71],"evolution":[72,80,115,144,157],"between":[73],"particle":[74,161],"swarm":[75],"(PSO)":[77],"differential":[79],"(DE)":[81],"existing":[84],"learning":[86,95,105],"framework.":[87,188],"Then,":[88],"propose":[90],"triple":[92],"network":[93],"(TNKL)":[96],"framework":[97,148,168],"mitigate":[99],"limitations":[101],"boost":[103],"for":[106],"PSO-based":[107],"algorithms.":[108],"In":[109],"TNKL":[111,147,167,187],"framework,":[112],"successful":[114],"current":[119],"particle,":[120],"historical":[122],"best":[123,128],"position,":[124],"global":[127],"position":[129],"are":[130],"collected.":[131],"Three":[132],"neural":[133],"networks":[134],"different":[136],"from":[138],"experiences":[140],"give":[142],"appropriate":[143],"directions.":[145],"The":[146,175],"then":[149],"comprehensively":[150],"considers":[151],"directions":[153],"according":[154],"stage":[158],"guide":[160],"Finally,":[163],"integrate":[165],"with":[169],"PSO":[170],"state-of-the-art":[173],"variants.":[174],"benchmark":[176],"function":[177],"experimental":[178],"results":[179],"verify":[180],"effectiveness":[182],"efficiency":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
