乐胖代购免代理版

{"id":"https://openalex.org/W2162222570","doi":"https://doi.org/10.1109/sis.2009.4937841","title":"Information sharing strategy among particles in Particle Swarm Optimization using Laplacian operator","display_name":"Information sharing strategy among particles in Particle Swarm Optimization using Laplacian operator","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2162222570","doi":"https://doi.org/10.1109/sis.2009.4937841","mag":"2162222570"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2009.4937841","pdf_url":null,"source":{"id":"https://openalex.org/S4306418825","display_name":"IEEE Swarm Intelligence Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5023928504","display_name":"Jagdish Chand Bansal","orcid":"https://orcid.org/0000-0001-9029-5129"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"funder","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jagdish Chand Bansal","raw_affiliation_strings":["Indian Institute of Technology, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021797294","display_name":"Kusum Deep","orcid":"https://orcid.org/0000-0001-5821-2696"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"funder","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kusum Deep","raw_affiliation_strings":["Indian Institute of Technology, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067352490","display_name":"Kalyan Veeramachaneni","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"funder","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyan Veeramachaneni","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002344476","display_name":"Lisa Ann Osadciw","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"funder","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lisa Osadciw","raw_affiliation_strings":["Syracuse University, Syracuse, NY, US"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY, US","institution_ids":["https://openalex.org/I70983195"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.314,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":18,"citation_normalized_percentile":{"value":0.841712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"36"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997,"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":0.9997,"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":0.98,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9638,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.5946096},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.53125167}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8180583},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.7968684},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6709977},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6322691},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5946096},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.59154075},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.5584829},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.53125167},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.4537809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45274693},{"id":"https://openalex.org/C183057437","wikidata":"https://www.wikidata.org/wiki/Q671617","display_name":"Laplace distribution","level":3,"score":0.4258153},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.41900983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37046382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32924742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17463464},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.15632072},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15585628},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.063097924},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2009.4937841","pdf_url":null,"source":{"id":"https://openalex.org/S4306418825","display_name":"IEEE Swarm Intelligence Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1502340555","https://openalex.org/W1508581875","https://openalex.org/W1595498733","https://openalex.org/W1875348914","https://openalex.org/W1907706552","https://openalex.org/W2010659620","https://openalex.org/W2029510805","https://openalex.org/W2035077248","https://openalex.org/W2051667550","https://openalex.org/W2108270451","https://openalex.org/W2123064467","https://openalex.org/W2152195021","https://openalex.org/W2157613552","https://openalex.org/W2165299997","https://openalex.org/W2402846924","https://openalex.org/W4236103016"],"related_works":["https://openalex.org/W4385495213","https://openalex.org/W4299389082","https://openalex.org/W4290003498","https://openalex.org/W4235974481","https://openalex.org/W2895178859","https://openalex.org/W2363406585","https://openalex.org/W2347477706","https://openalex.org/W2115729582","https://openalex.org/W2019494924","https://openalex.org/W1922506815"],"abstract_inverted_index":{"Particle":[0],"swarm":[1,41],"optimization":[2,13,16],"(PSO)":[3],"has":[4],"been":[5],"extensively":[6],"used":[7],"in":[8,40,105,126,185],"recent":[9],"years":[10],"for":[11],"the":[12,20,106,122,127,157,179],"of":[14,19,24,63,94,156,187],"nonlinear":[15],"problems.":[17,173],"Two":[18,99],"most":[21],"popular":[22],"variants":[23],"PSO":[25,141,149],"are":[26,97],"PSO-W":[27,166],"(PSO":[28,34],"with":[29,35,142,150,163],"inertia":[30,143],"weight)":[31],"and":[32,50,109,146,167,190],"PSO-C":[33,168],"constriction":[36,151],"factor).":[37],"Typically":[38],"particles":[39,65,81,100],"use":[42],"information":[43,78,104],"from":[44,87],"global":[45],"best":[46],"performing":[47,124],"particle,":[48,116,120],"gbest":[49],"their":[51,102],"own":[52],"personal":[53],"best,":[54],"pbest.":[55],"Recently,":[56],"studies":[57],"have":[58],"focused":[59],"on":[60],"incorporating":[61],"influences":[62],"other":[64,66],"than":[67],"gbest.":[68],"In":[69],"this":[70,95,130,133],"paper,":[71],"we":[72],"develop":[73],"a":[74,83,110],"methodology":[75],"to":[76,165],"share":[77,101],"between":[79],"two":[80,136],"using":[82,169],"Laplacian":[84,119],"operator":[85,96],"designed":[86,159],"Laplace":[88,139,147],"probability":[89],"density":[90],"function.":[91],"The":[92,115,154,174],"properties":[93],"analyzed.":[98],"positional":[103],"search":[107],"space":[108],"new":[111,131,180],"particle":[112,125],"is":[113,161],"formed.":[114],"called":[117],"as":[118],"replaces":[121],"worst":[123],"swarm.":[128],"Using":[129],"operator,":[132],"paper":[134],"introduces":[135],"algorithms":[137,160],"namely":[138],"Crossover":[140,148],"weight":[144],"(LXPSO-W)":[145],"factor":[152],"(LXPSO-C).":[153],"performance":[155,183],"newly":[158],"evaluated":[162],"respect":[164],"15":[170],"benchmark":[171],"test":[172],"empirical":[175],"results":[176],"show":[177],"that":[178],"approach":[181],"improves":[182],"measured":[184],"terms":[186],"efficiency,":[188],"reliability":[189],"robustness.":[191]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2162222570","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-03-21T05:45:08.916624","created_date":"2016-06-24"}