{"id":"https://openalex.org/W2027931016","doi":"https://doi.org/10.1145/2463372.2463381","title":"Small-world particle swarm optimization with topology adaptation","display_name":"Small-world particle swarm optimization with topology adaptation","publication_year":2013,"publication_date":"2013-07-06","ids":{"openalex":"https://openalex.org/W2027931016","doi":"https://doi.org/10.1145/2463372.2463381","mag":"2027931016"},"language":"en","primary_location":{"id":"doi:10.1145/2463372.2463381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463372.2463381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th annual conference on Genetic and evolutionary computation","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/A5063438356","display_name":"Yue\u2010Jiao Gong","orcid":"https://orcid.org/0000-0002-5648-1160"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue-jiao Gong","raw_affiliation_strings":["Sun Yat-sen Univerisity, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen Univerisity, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063438356"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":5.771,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.95793996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9732999801635742,"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":0.727536678314209},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.6540946364402771},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5995442271232605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.595604419708252},{"id":"https://openalex.org/keywords/topology-optimization","display_name":"Topology optimization","score":0.565494179725647},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.46984806656837463},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.366719514131546},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3627650737762451},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19043833017349243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17884159088134766},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14340052008628845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1004767119884491},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07093119621276855},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.06887996196746826}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.727536678314209},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.6540946364402771},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5995442271232605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.595604419708252},{"id":"https://openalex.org/C189216461","wikidata":"https://www.wikidata.org/wiki/Q2443456","display_name":"Topology optimization","level":3,"score":0.565494179725647},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.46984806656837463},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.366719514131546},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3627650737762451},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19043833017349243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17884159088134766},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14340052008628845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1004767119884491},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07093119621276855},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.06887996196746826},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2463372.2463381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463372.2463381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th annual conference on Genetic and evolutionary computation","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":19,"referenced_works":["https://openalex.org/W1573579329","https://openalex.org/W1987234899","https://openalex.org/W1997600725","https://openalex.org/W1998391576","https://openalex.org/W2007423183","https://openalex.org/W2064788562","https://openalex.org/W2071140122","https://openalex.org/W2109364787","https://openalex.org/W2112090702","https://openalex.org/W2135232426","https://openalex.org/W2138278080","https://openalex.org/W2144607155","https://openalex.org/W2146257737","https://openalex.org/W2150712706","https://openalex.org/W2152195021","https://openalex.org/W2162012556","https://openalex.org/W2172028368","https://openalex.org/W2340194395","https://openalex.org/W6634264458"],"related_works":["https://openalex.org/W1747965218","https://openalex.org/W3177438917","https://openalex.org/W3002669349","https://openalex.org/W2084289551","https://openalex.org/W2372447950","https://openalex.org/W1997830976","https://openalex.org/W2322270513","https://openalex.org/W2042536609","https://openalex.org/W2076839047","https://openalex.org/W2080858013"],"abstract_inverted_index":{"Traditional":[0],"particle":[1,42,82,127],"swarm":[2,45,73,128],"optimization":[3],"(PSO)":[4],"algorithms":[5],"adopt":[6],"completely":[7],"regular":[8],"network":[9],"as":[10],"topologies,":[11],"which":[12],"may":[13],"encounter":[14],"the":[15,27,44,72,81,87,98,102,106,114,118,122,126,139,155,161],"problems":[16],"of":[17,29,71,90,117,148,160],"premature":[18],"convergence":[19,115],"and":[20,51,80,105,135,157],"insufficient":[21],"efficiency.":[22],"In":[23,63],"order":[24,64],"to":[25,54,65,85,131],"improve":[26,66],"performance":[28],"PSO,":[30],"this":[31],"paper":[32],"proposes":[33],"a":[34,77,146],"novel":[35],"topology":[36,123,168],"based":[37,112],"on":[38,93,113,145],"small-world":[39,61,100,167],"network.":[40],"Each":[41],"in":[43,97],"interacts":[46],"with":[47,56,76,165,171],"its":[48,133],"cohesive":[49],"neighbors":[50,92],"by":[52],"chance":[53],"communicate":[55],"some":[57,172],"distant":[58],"particles":[59],"via":[60],"randomization.":[62],"search":[67,140],"diversity,":[68],"each":[69],"dimension":[70],"is":[74,83,129],"assigned":[75],"specific":[78],"network,":[79],"allowed":[84],"follow":[86],"historical":[88],"information":[89],"different":[91,94],"dimensions.":[95],"Moreover,":[96],"proposed":[99,162],"topology,":[101],"neighborhood":[103],"size":[104],"randomization":[107],"probability":[108],"are":[109],"adaptively":[110],"adjusted":[111],"state":[116],"swarm.":[119],"By":[120],"applying":[121],"adaptation":[124],"mechanism,":[125],"able":[130],"balance":[132],"exploitation":[134],"exploration":[136],"abilities":[137],"during":[138],"process.":[141],"Experiments":[142],"were":[143],"conducted":[144],"set":[147],"classical":[149],"benchmark":[150],"functions.":[151],"The":[152],"results":[153],"verify":[154],"effectiveness":[156],"high":[158],"efficiency":[159],"PSO":[163,174],"algorithm":[164],"adaptive":[166],"when":[169],"compared":[170],"other":[173],"variants.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}