{"id":"https://openalex.org/W1994905368","doi":"https://doi.org/10.1145/1389095.1389109","title":"Theoretical and empirical study of particle swarms with additive stochasticity and different recombination operators","display_name":"Theoretical and empirical study of particle swarms with additive stochasticity and different recombination operators","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W1994905368","doi":"https://doi.org/10.1145/1389095.1389109","mag":"1994905368"},"language":"en","primary_location":{"id":"doi:10.1145/1389095.1389109","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://serval.unil.ch/notice/serval:BIB_FF0B0E3F9A3D","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064329625","display_name":"Jorge Pe\u00f1a","orcid":"https://orcid.org/0000-0002-4137-1823"},"institutions":[{"id":"https://openalex.org/I97565354","display_name":"University of Lausanne","ror":"https://ror.org/019whta54","country_code":"CH","type":"education","lineage":["https://openalex.org/I97565354"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Jorge Pe\u00f1a","raw_affiliation_strings":["Universit\u00e9 de Lausanne, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I97565354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064329625"],"corresponding_institution_ids":["https://openalex.org/I97565354"],"apc_list":null,"apc_paid":null,"fwci":1.1732,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83778872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"95","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991999864578247,"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":0.9991999864578247,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10288","display_name":"Fractional Differential Equations Solutions","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/multiplicative-function","display_name":"Multiplicative function","score":0.7123228907585144},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6027886271476746},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.584776759147644},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5814636945724487},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5435237288475037},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4945473372936249},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.4836479425430298},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4396277666091919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4203205108642578},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.41943150758743286},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.37163981795310974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3685432970523834},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23324483633041382},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.1649940311908722},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1061536967754364}],"concepts":[{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.7123228907585144},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6027886271476746},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.584776759147644},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5814636945724487},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5435237288475037},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4945473372936249},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4836479425430298},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4396277666091919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4203205108642578},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.41943150758743286},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.37163981795310974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3685432970523834},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23324483633041382},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.1649940311908722},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1061536967754364},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"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/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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1389095.1389109","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.153.36","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.36","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p95.pdf","raw_type":"text"},{"id":"pmh:oai:serval.unil.ch:BIB_FF0B0E3F9A3D","is_oa":true,"landing_page_url":"https://serval.unil.ch/notice/serval:BIB_FF0B0E3F9A3D","pdf_url":null,"source":{"id":"https://openalex.org/S4306401797","display_name":"SERVAL (Universit\u00e9 de Lausanne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210093590","host_organization_name":"Swiss School of Archaeology in Greece","host_organization_lineage":["https://openalex.org/I4210093590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pp. 95-102","raw_type":"info:eu-repo/semantics/submittedVersion"}],"best_oa_location":{"id":"pmh:oai:serval.unil.ch:BIB_FF0B0E3F9A3D","is_oa":true,"landing_page_url":"https://serval.unil.ch/notice/serval:BIB_FF0B0E3F9A3D","pdf_url":null,"source":{"id":"https://openalex.org/S4306401797","display_name":"SERVAL (Universit\u00e9 de Lausanne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210093590","host_organization_name":"Swiss School of Archaeology in Greece","host_organization_lineage":["https://openalex.org/I4210093590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pp. 95-102","raw_type":"info:eu-repo/semantics/submittedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323831","display_name":"Universit\u00e9 de Lausanne","ror":"https://ror.org/019whta54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1576660662","https://openalex.org/W1995655951","https://openalex.org/W2012986677","https://openalex.org/W2036834276","https://openalex.org/W2091735644","https://openalex.org/W2103187392","https://openalex.org/W2108479330","https://openalex.org/W2127931254","https://openalex.org/W2127996468","https://openalex.org/W2131552548","https://openalex.org/W2139339670","https://openalex.org/W2139386984","https://openalex.org/W2146021205","https://openalex.org/W2156560496","https://openalex.org/W2169245194"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"Standard":[0],"particle":[1,16,49,110],"swarms":[2,111],"exhibit":[3],"both":[4],"multiplicative":[5],"and":[6,25,79,94],"additive":[7,20,113],"stochasticity":[8,21,114],"in":[9,117],"their":[10],"update":[11,56],"equations.":[12],"Recently,":[13],"a":[14,28,44,54,118],"simpler":[15],"swarm":[17,50],"with":[18,112],"just":[19],"has":[22],"been":[23],"proposed":[24],"studied":[26],"using":[27],"new":[29],"theoretical":[30],"approach.":[31],"In":[32,72],"this":[33],"paper":[34],"we":[35,74],"extend":[36],"the":[37,66,76,80,84,89,100,105],"main":[38],"results":[39],"of":[40,47,68,88,108,120],"that":[41],"study":[42],"to":[43],"large":[45],"number":[46],"existing":[48],"optimisers":[51],"by":[52],"defining":[53],"general":[55],"rule":[57],"from":[58],"which":[59],"actual":[60],"algorithms":[61],"can":[62],"be":[63],"instantiated":[64],"via":[65],"choice":[67],"specific":[69],"recombination":[70,102],"operators.":[71],"particular,":[73],"derive":[75],"stability":[77],"conditions":[78],"dynamic":[81],"equations":[82],"for":[83],"first":[85],"two":[86],"moments":[87],"sampling":[90],"distribution":[91],"during":[92],"stagnation,":[93],"show":[95],"how":[96],"they":[97],"depend":[98],"on":[99],"used":[101],"operator.":[103],"Finally,":[104],"optimisation":[106],"efficiency":[107],"several":[109],"is":[115],"compared":[116],"suite":[119],"16":[121],"benchmark":[122],"functions.":[123]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
