{"id":"https://openalex.org/W2085540825","doi":"https://doi.org/10.1109/cec.2014.6900462","title":"Particle Swarm Optimization with population adaptation","display_name":"Particle Swarm Optimization with population adaptation","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2085540825","doi":"https://doi.org/10.1109/cec.2014.6900462","mag":"2085540825"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5055489209","display_name":"Nanda Dulal Jana","orcid":"https://orcid.org/0000-0003-0631-9912"},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nanda Dulal Jana","raw_affiliation_strings":["Department of IT, National Institute of Technology, Durgapur, India","Department of IT, National Institute of Technology, Durgapur-713209, India"],"affiliations":[{"raw_affiliation_string":"Department of IT, National Institute of Technology, Durgapur, India","institution_ids":["https://openalex.org/I155837530"]},{"raw_affiliation_string":"Department of IT, National Institute of Technology, Durgapur-713209, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085924003","display_name":"Jaya Sil","orcid":"https://orcid.org/0000-0001-6335-4437"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jaya Sil","raw_affiliation_strings":["Department of CST, Indian Institute of Engineering Science & Technology, Shibpur, India","Department of CST, Indian Institute of Engineering Science & Technology, Shibpur 711103, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of CST, Indian Institute of Engineering Science & Technology, Shibpur, India","institution_ids":["https://openalex.org/I98365261"]},{"raw_affiliation_string":"Department of CST, Indian Institute of Engineering Science & Technology, Shibpur 711103, India#TAB#","institution_ids":["https://openalex.org/I98365261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000078546","display_name":"Swagatam Das","orcid":"https://orcid.org/0000-0001-6843-4508"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swagatam Das","raw_affiliation_strings":["ECS Unit, Indian Statistical Institute, Kolkata, India","ECS Unit, Indian Statistical Institute, Kolkata 700108, India#TAB#"],"affiliations":[{"raw_affiliation_string":"ECS Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"ECS Unit, Indian Statistical Institute, Kolkata 700108, India#TAB#","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055489209"],"corresponding_institution_ids":["https://openalex.org/I155837530"],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74803156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7063","issue":null,"first_page":"573","last_page":"578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9815000295639038,"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":0.9761000275611877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.792615532875061},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.7923843860626221},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.7752915620803833},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.622883677482605},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6033990383148193},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5980270504951477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.574349045753479},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5567149519920349},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5287211537361145},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5005230903625488},{"id":"https://openalex.org/keywords/population-size","display_name":"Population size","score":0.4601827561855316},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.43652892112731934},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34983983635902405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.265058696269989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21757671236991882},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0669807493686676}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.792615532875061},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.7923843860626221},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.7752915620803833},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.622883677482605},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6033990383148193},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5980270504951477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574349045753479},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5567149519920349},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5287211537361145},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5005230903625488},{"id":"https://openalex.org/C169733012","wikidata":"https://www.wikidata.org/wiki/Q1613416","display_name":"Population size","level":3,"score":0.4601827561855316},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.43652892112731934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34983983635902405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.265058696269989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21757671236991882},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0669807493686676},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W168677348","https://openalex.org/W1576426930","https://openalex.org/W1967803244","https://openalex.org/W2033108330","https://openalex.org/W2090045341","https://openalex.org/W2109364787","https://openalex.org/W2110250181","https://openalex.org/W2128721152","https://openalex.org/W2132181343","https://openalex.org/W2139386984","https://openalex.org/W2149848331","https://openalex.org/W2152195021","https://openalex.org/W2534314403","https://openalex.org/W6606754187","https://openalex.org/W6658731229"],"related_works":["https://openalex.org/W2116814709","https://openalex.org/W1959298326","https://openalex.org/W2568341866","https://openalex.org/W2211452270","https://openalex.org/W3020868696","https://openalex.org/W2383686222","https://openalex.org/W50211061","https://openalex.org/W1967310898","https://openalex.org/W1589193853","https://openalex.org/W2354218176"],"abstract_inverted_index":{"The":[0,78,131,152],"Particle":[1],"Swarm":[2],"Optimization":[3],"(PSO)":[4],"algorithm":[5,12,139,160,169],"is":[6,35,89,115,134,141],"a":[7,72,108,144],"novel":[8],"population":[9,42,75,87,93,114,118,132,158],"based":[10],"swarm":[11],"has":[13],"shown":[14],"good":[15],"performance":[16,63,165],"on":[17,30,143],"well-known":[18],"numerical":[19],"test":[20,32],"problems.":[21,33],"However,":[22],"PSO":[23,65,138,168],"tends":[24],"to":[25,37,48,125],"suffer":[26],"from":[27],"premature":[28],"convergence":[29],"multimodal":[31],"This":[34],"due":[36],"lack":[38],"of":[39,41,57,64,74,107,146,166],"diversity":[40,88,127],"in":[43,67,112,128],"search":[44],"space":[45],"and":[46,53,103,140,174],"leads":[47],"stuck":[49],"at":[50],"local":[51],"optima":[52],"ultimately":[54],"fitness":[55],"stagnation":[56,111],"the":[58,62,83,86,92,97,113,117,129,137,156,164,167],"population.":[59,109,130],"To":[60],"enhance":[61],"algorithms,":[66],"this":[68],"paper,":[69],"we":[70],"propose":[71],"method":[73,80],"adaptation":[76,133,159],"(PA).":[77],"proposed":[79,157],"can":[81,161],"identify":[82],"moment":[84],"when":[85],"poor":[90],"or":[91],"stagnates":[94],"by":[95,122],"measuring":[96],"Euclidean":[98],"distance":[99],"between":[100],"particle":[101],"position":[102,106],"particles":[104],"average":[105],"When":[110],"identified,":[116],"will":[119],"be":[120],"regenerated":[121],"normal":[123],"distribution":[124],"increase":[126],"incorporated":[135],"into":[136],"tested":[142],"set":[145],"13":[147],"scalable":[148],"CEC05":[149],"benchmark":[150],"functions.":[151],"results":[153],"show":[154],"that":[155],"significantly":[162],"improve":[163],"with":[170],"standard":[171],"PSO,":[172],"ATREPSO":[173],"ARPSO.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
