{"id":"https://openalex.org/W2334480159","doi":"https://doi.org/10.1109/icaci.2016.7449853","title":"A dynamic competitive swarm optimizer based-on entropy for large scale optimization","display_name":"A dynamic competitive swarm optimizer based-on entropy for large scale optimization","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2334480159","doi":"https://doi.org/10.1109/icaci.2016.7449853","mag":"2334480159"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2016.7449853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2016.7449853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","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/A5042288832","display_name":"Wenxiao Zhang","orcid":"https://orcid.org/0000-0001-7052-5011"},"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":"Wen-Xiao Zhang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050385116","display_name":"Wei\u2013Neng Chen","orcid":"https://orcid.org/0000-0003-0843-5802"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Neng Chen","raw_affiliation_strings":["Key Lab. of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Lab. of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"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/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Key Lab. of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Lab. of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042288832"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":2.5708,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91527014,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"371"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9950000047683716,"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":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6785173416137695},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6366339921951294},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5962724685668945},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5953367948532104},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5943942070007324},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5797673463821411},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.538773238658905},{"id":"https://openalex.org/keywords/population-size","display_name":"Population size","score":0.42269521951675415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19258266687393188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1888180673122406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6785173416137695},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6366339921951294},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5962724685668945},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5953367948532104},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5943942070007324},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5797673463821411},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.538773238658905},{"id":"https://openalex.org/C169733012","wikidata":"https://www.wikidata.org/wiki/Q1613416","display_name":"Population size","level":3,"score":0.42269521951675415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19258266687393188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1888180673122406},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/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/icaci.2016.7449853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2016.7449853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W120185646","https://openalex.org/W1555689267","https://openalex.org/W1979074368","https://openalex.org/W1987234899","https://openalex.org/W1991590204","https://openalex.org/W1995972800","https://openalex.org/W1996673440","https://openalex.org/W2109364787","https://openalex.org/W2118840131","https://openalex.org/W2132789671","https://openalex.org/W2145113795","https://openalex.org/W2145418868","https://openalex.org/W2152195021","https://openalex.org/W2917134690","https://openalex.org/W6649263426"],"related_works":["https://openalex.org/W4288714711","https://openalex.org/W2378211422","https://openalex.org/W3200708550","https://openalex.org/W2736680465","https://openalex.org/W2771637876","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W4294093918","https://openalex.org/W4240853094","https://openalex.org/W2810496283"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,34,73,107],"dynamic":[4],"competitive":[5,22],"swarm":[6,23],"optimizer":[7,24],"(DCSO)":[8],"based":[9],"on":[10,124,128],"population":[11,30,46],"entropy":[12,31],"is":[13,18,122],"proposed.":[14],"The":[15,26,119,133],"new":[16,27,142],"algorithm":[17,28,143],"derived":[19],"from":[20,82,116],"the":[21,38,45,52,56,64,66,86,90,95,98,100,137,141],"(CSO).":[25],"uses":[29],"to":[32,43,59,93],"make":[33],"quantitative":[35],"description":[36],"about":[37],"diversity":[39,96],"of":[40,55,63,89,97,136],"population,":[41,99],"and":[42,76,110,146],"divide":[44],"into":[47],"two":[48],"sub-groups":[49],"dynamically.":[50],"During":[51,85],"early":[53],"stage":[54,88],"execution":[57,91],"process,":[58,92],"speed":[60,149],"up":[61],"convergence":[62,148],"algorithm,":[65],"sub-group":[67,79,101,113],"with":[68,102],"better":[69,103,145],"fitness":[70,104],"will":[71,80,105,114],"have":[72,106],"small":[74,83,111],"size,":[75,109],"worse":[77,112],"large":[78,108,117,129],"learn":[81,115],"one.":[84],"late":[87],"keep":[94],"group.":[118],"proposed":[120],"DCSO":[121],"evaluated":[123],"CEC'08":[125],"benchmark":[126],"functions":[127],"scale":[130],"global":[131],"optimization.":[132],"simulation":[134],"results":[135],"example":[138],"indicate":[139],"that":[140],"has":[144],"faster":[147],"than":[150],"CSO.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
