{"id":"https://openalex.org/W2515129811","doi":"https://doi.org/10.1109/tevc.2016.2605668","title":"Impacts of coefficients on movement patterns in the particle swarm optimization algorithm","display_name":"Impacts of coefficients on movement patterns in the particle swarm optimization algorithm","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2515129811","doi":"https://doi.org/10.1109/tevc.2016.2605668","mag":"2515129811"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2016.2605668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2016.2605668","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-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/A5003490724","display_name":"Mohammad Reza Bonyadi","orcid":"https://orcid.org/0000-0003-0061-4902"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mohammadreza Bonyadi","raw_affiliation_strings":["Centre for Advanced Imaging, University of Queensland, St. Lucia, QLD, Australia","Optimisation and Logistics Group, University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0061-4902","affiliations":[{"raw_affiliation_string":"Centre for Advanced Imaging, University of Queensland, St. Lucia, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]},{"raw_affiliation_string":"Optimisation and Logistics Group, University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072022501","display_name":"Zbigniew Michalewicz","orcid":"https://orcid.org/0000-0001-5609-5457"},"institutions":[{"id":"https://openalex.org/I3017851245","display_name":"Polish-Japanese Academy of Information Technology","ror":"https://ror.org/01v542j61","country_code":"PL","type":"education","lineage":["https://openalex.org/I3017851245"]},{"id":"https://openalex.org/I4210087266","display_name":"Institute of Computer Science","ror":"https://ror.org/003fvp964","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Zbigniew Michalewicz","raw_affiliation_strings":["Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland","Polish\u2013Japanese Academy of Information Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I99542240","https://openalex.org/I4210087266"]},{"raw_affiliation_string":"Polish\u2013Japanese Academy of Information Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I3017851245"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003490724"],"corresponding_institution_ids":["https://openalex.org/I165143802","https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":15.0185,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.98908752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9955000281333923,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9843999743461609,"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":0.7661327123641968},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.6539994478225708},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6357970237731934},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5651447772979736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5589028596878052},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5445767045021057},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4548344016075134},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.45307114720344543},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4478934705257416},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4302331507205963},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3933904767036438},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3232858180999756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31885474920272827},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2624353766441345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1955588459968567},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13102677464485168},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08004683256149292},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07499334216117859},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07251918315887451}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7661327123641968},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.6539994478225708},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6357970237731934},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5651447772979736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5589028596878052},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5445767045021057},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4548344016075134},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.45307114720344543},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4478934705257416},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4302331507205963},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3933904767036438},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3232858180999756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31885474920272827},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2624353766441345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1955588459968567},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13102677464485168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08004683256149292},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07499334216117859},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07251918315887451},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tevc.2016.2605668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2016.2605668","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/111501","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/111501","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/tevc.2016.2605668","raw_type":"Journal article"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:625061","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W246566237","https://openalex.org/W1576426930","https://openalex.org/W1600907791","https://openalex.org/W1628481780","https://openalex.org/W1991248646","https://openalex.org/W1994445384","https://openalex.org/W2044400415","https://openalex.org/W2067483921","https://openalex.org/W2081749411","https://openalex.org/W2082572992","https://openalex.org/W2109364787","https://openalex.org/W2127931254","https://openalex.org/W2131600108","https://openalex.org/W2139386984","https://openalex.org/W2152195021","https://openalex.org/W2165299997","https://openalex.org/W2169245194","https://openalex.org/W2169291847","https://openalex.org/W2182761707","https://openalex.org/W2344997942","https://openalex.org/W2417927506","https://openalex.org/W2515129811","https://openalex.org/W4230073927","https://openalex.org/W4231407710","https://openalex.org/W4285719527","https://openalex.org/W6609453910","https://openalex.org/W6686280248"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2380964641"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,80,186],"investigate":[4],"movement":[5,19,46,59,77,117,130,178],"patterns":[6,20],"of":[7,21,38,45,58,66,76,88,94,112,119,129,171,177,183,202,233,242],"a":[8,48,61,92,106,132,225,240],"particle":[9,12,23,133],"in":[10,215],"the":[11,22,28,42,51,56,64,70,74,86,116,126,141,169,172,180,199,210],"swarm":[13],"optimization":[14],"(PSO)":[15],"algorithm.":[16],"We":[17,40,68,90,121,167,207,228],"characterize":[18],"by":[24],"two":[25],"factors:":[26],"1)":[27],"correlation":[29,52],"between":[30,53],"its":[31,36,163],"consecutive":[32],"positions":[33,54],"and":[34,55,73,79,110,175,185],"2)":[35],"range":[37,65],"movement.":[39,67,227],"introduce":[41],"base":[43,71,108,127,173,190,220],"frequency":[44,72,109,128,174],"as":[47,60],"measure":[49,62],"for":[50,63,131],"variance":[57,75,111,176],"determine":[69],"theoretically":[78],"show":[81,123,187],"how":[82],"they":[83],"change":[84],"with":[85,162,224],"values":[87,102,214],"coefficients.":[89],"extract":[91],"system":[93],"equations":[95],"that":[96,124,188,209,222,235],"enables":[97],"practitioners":[98],"to":[99,103],"find":[100],"coefficients'":[101],"guarantee":[104],"achieving":[105],"given":[107],"movement,":[113],"i.e.,":[114],"control":[115],"pattern":[118],"particles.":[120],"also":[122,229],"if":[125],"is":[134,147,205],"small,":[135],"mid":[136],"range,":[137],"or":[138,155],"large":[139],"then":[140],"particle's":[142],"position":[143],"at":[144,159],"each":[145,160],"iteration":[146],"positively":[148],"correlated":[149,157],"(smooth":[150],"movement),":[151,154],"uncorrelated":[152],"(chaotic":[153],"negatively":[156],"(jumping":[158],"iteration)":[161],"previous":[164],"positions,":[165],"respectively.":[166],"test":[168],"effects":[170],"on":[179,239],"search":[181],"ability":[182],"particles":[184],"small":[189],"frequencies":[191,221],"(i.e.,":[192],"smooth":[193],"movement)":[194],"are":[195],"more":[196],"effective":[197],"when":[198],"maximum":[200],"number":[201],"function":[203],"evaluations":[204],"large.":[206],"found":[208],"most":[211],"frequently-used":[212],"coefficient":[213],"PSO":[216],"literature":[217],"impose":[218],"mid-range":[219],"correspond":[223],"chaotic":[226],"provide":[230],"new":[231],"sets":[232],"coefficients":[234],"outperform":[236],"existing":[237],"ones":[238],"set":[241],"benchmark":[243],"functions.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
