{"id":"https://openalex.org/W2528463995","doi":"https://doi.org/10.1109/stc-csit.2016.7589854","title":"An improved CPSO algorithm","display_name":"An improved CPSO algorithm","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2528463995","doi":"https://doi.org/10.1109/stc-csit.2016.7589854","mag":"2528463995"},"language":"en","primary_location":{"id":"doi:10.1109/stc-csit.2016.7589854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/stc-csit.2016.7589854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","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/A5068624735","display_name":"Bo\u017cena Borowska","orcid":"https://orcid.org/0000-0001-7640-5782"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Bozena Borowska","raw_affiliation_strings":["Institute of Information Technology, Lodz University of Technology, Lodz, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Lodz University of Technology, Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068624735"],"corresponding_institution_ids":["https://openalex.org/I188884621"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.06301947,"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":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9923999905586243,"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":0.9851999878883362,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8290180563926697},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7835530638694763},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7293206453323364},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.6939690113067627},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6358016729354858},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6118873357772827},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.5600494146347046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5258698463439941},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4683033227920532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28774768114089966}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8290180563926697},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7835530638694763},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7293206453323364},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.6939690113067627},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6358016729354858},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6118873357772827},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.5600494146347046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5258698463439941},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4683033227920532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28774768114089966},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/stc-csit.2016.7589854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/stc-csit.2016.7589854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","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":33,"referenced_works":["https://openalex.org/W749625084","https://openalex.org/W831325456","https://openalex.org/W1566471577","https://openalex.org/W1858731859","https://openalex.org/W1975371461","https://openalex.org/W1982224715","https://openalex.org/W1991735480","https://openalex.org/W2020332124","https://openalex.org/W2029631366","https://openalex.org/W2030614909","https://openalex.org/W2039552285","https://openalex.org/W2056610867","https://openalex.org/W2057163815","https://openalex.org/W2062711254","https://openalex.org/W2066784699","https://openalex.org/W2081749411","https://openalex.org/W2097352283","https://openalex.org/W2097419032","https://openalex.org/W2106625051","https://openalex.org/W2111393363","https://openalex.org/W2121948189","https://openalex.org/W2124290836","https://openalex.org/W2133152516","https://openalex.org/W2142375107","https://openalex.org/W2152195021","https://openalex.org/W2169245194","https://openalex.org/W2220913511","https://openalex.org/W6623297601","https://openalex.org/W6633888334","https://openalex.org/W6667309102","https://openalex.org/W6675999727","https://openalex.org/W6678450866","https://openalex.org/W6703967216"],"related_works":["https://openalex.org/W42170614","https://openalex.org/W1934426788","https://openalex.org/W2364947648","https://openalex.org/W2568269143","https://openalex.org/W2379567910","https://openalex.org/W1959298326","https://openalex.org/W2391178530","https://openalex.org/W2568341866","https://openalex.org/W1991387858","https://openalex.org/W2358785986"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"improved":[4],"particle":[5],"swarm":[6],"optimization":[7],"algorithm":[8,49],"(CPSO)":[9],"in":[10,61],"which":[11],"corrective":[12,20],"procedure":[13,21],"was":[14,50],"introduced.":[15],"The":[16,47,75],"aim":[17],"of":[18,42,55,63,77,95],"this":[19],"is":[22],"to":[23,71,91],"set":[24,54],"new,":[25],"better":[26],"velocities":[27,34,38],"for":[28],"some":[29],"particles":[30],"when":[31],"their":[32,64],"present":[33],"are":[35,39],"inefficient.":[36],"New":[37],"the":[40,69,78,86,93],"functions":[41,57],"previous":[43],"and":[44,58,68,89],"current":[45],"velocities.":[46],"presented":[48],"tested":[51],"with":[52,82],"a":[53],"benchmark":[56],"analyzed":[59],"both":[60],"terms":[62],"efficiency,":[65],"premature":[66],"convergence":[67],"ability":[70],"avoid":[72],"local":[73],"optima.":[74],"results":[76],"tests":[79],"were":[80],"compared":[81],"those":[83],"obtained":[84],"through":[85],"standard":[87],"PSO":[88],"IPSO":[90],"demonstrate":[92],"superiority":[94],"CPSO.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}