{"id":"https://openalex.org/W2024293245","doi":"https://doi.org/10.1109/cec.2014.6900260","title":"Comparison of multiobjective particle swarm optimization and evolutionary algorithms for optimal reactive power dispatch problem","display_name":"Comparison of multiobjective particle swarm optimization and evolutionary algorithms for optimal reactive power dispatch problem","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2024293245","doi":"https://doi.org/10.1109/cec.2014.6900260","mag":"2024293245"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900260","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":"conference-paper","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/A5110537828","display_name":"Yujiao Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115680","display_name":"Automation Research and Design Institute of Metallurgical Industry (China)","ror":"https://ror.org/02bf68437","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210115680"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujiao Zeng","raw_affiliation_strings":["State Key Laboratory of Hybrid Process Industry, Automation Research and Design Institute of Metallurgical Industry, Beijing, China","State Key Laboratory of Hybrid Process Industry, Automation System and Equipment Technology, Automation Research and Design Institute of Metallurgical Industry, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Hybrid Process Industry, Automation Research and Design Institute of Metallurgical Industry, Beijing, China","institution_ids":["https://openalex.org/I4210115680"]},{"raw_affiliation_string":"State Key Laboratory of Hybrid Process Industry, Automation System and Equipment Technology, Automation Research and Design Institute of Metallurgical Industry, Beijing, China","institution_ids":["https://openalex.org/I4210115680"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103636577","display_name":"Yanguang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115680","display_name":"Automation Research and Design Institute of Metallurgical Industry (China)","ror":"https://ror.org/02bf68437","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210115680"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanguang Sun","raw_affiliation_strings":["State Key Laboratory of Hybrid Process Industry, Automation Research and Design Institute of Metallurgical Industry, Beijing, China","State Key Laboratory of Hybrid Process Industry, Automation System and Equipment Technology, Automation Research and Design Institute of Metallurgical Industry, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Hybrid Process Industry, Automation Research and Design Institute of Metallurgical Industry, Beijing, China","institution_ids":["https://openalex.org/I4210115680"]},{"raw_affiliation_string":"State Key Laboratory of Hybrid Process Industry, Automation System and Equipment Technology, Automation Research and Design Institute of Metallurgical Industry, Beijing, China","institution_ids":["https://openalex.org/I4210115680"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210115680"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10424","display_name":"Electric Power System Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10223","display_name":"Microgrid Control and Optimization","score":0.9983999729156494,"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/sorting","display_name":"Sorting","score":0.7554832100868225},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7216560244560242},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7157186269760132},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6541476845741272},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5949900150299072},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5420488119125366},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5156199336051941},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5155529975891113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5022003650665283},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4831332862377167},{"id":"https://openalex.org/keywords/ac-power","display_name":"AC power","score":0.43210530281066895},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4310632646083832},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3212653398513794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31667113304138184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29727745056152344}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.7554832100868225},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7216560244560242},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7157186269760132},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6541476845741272},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5949900150299072},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5420488119125366},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5156199336051941},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5155529975891113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5022003650665283},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4831332862377167},{"id":"https://openalex.org/C108755667","wikidata":"https://www.wikidata.org/wiki/Q1930258","display_name":"AC power","level":3,"score":0.43210530281066895},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4310632646083832},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3212653398513794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31667113304138184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29727745056152344},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900260","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1585939719","https://openalex.org/W1976826271","https://openalex.org/W1985753681","https://openalex.org/W2052116014","https://openalex.org/W2053401848","https://openalex.org/W2080699696","https://openalex.org/W2082529897","https://openalex.org/W2097557511","https://openalex.org/W2098907614","https://openalex.org/W2109242547","https://openalex.org/W2120482366","https://openalex.org/W2124248699","https://openalex.org/W2125015761","https://openalex.org/W2126105956","https://openalex.org/W2130071675","https://openalex.org/W2141249818","https://openalex.org/W2145479420","https://openalex.org/W2152195021","https://openalex.org/W2162411892","https://openalex.org/W2164807043","https://openalex.org/W2165171393","https://openalex.org/W2176132314","https://openalex.org/W2347532003","https://openalex.org/W2545962793","https://openalex.org/W6635097213","https://openalex.org/W6674718259"],"related_works":["https://openalex.org/W1994686097","https://openalex.org/W2090178682","https://openalex.org/W2028934378","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W2145877535","https://openalex.org/W2744730182"],"abstract_inverted_index":{"The":[0,101,135],"optimal":[1,171],"reactive":[2],"power":[3,172],"dispatch":[4],"(ORPD)":[5],"problem":[6],"is":[7],"formulated":[8],"as":[9],"a":[10,38,80,164],"complex":[11],"multiobjective":[12,26,31,44,118],"optimization":[13,34,45],"problem,":[14],"involving":[15],"nonlinear":[16],"functions,":[17],"continuous":[18],"and":[19,22,30,51,66,84,99,111,132,142,162],"discrete":[20],"variables":[21,98],"various":[23,95],"constraints.":[24,100],"Recently,":[25],"evolutionary":[27,69],"algorithms":[28,55,103,126,159],"(MOEAs)":[29],"particle":[32],"swarm":[33],"(MOPSO)":[35],"have":[36],"received":[37],"growing":[39],"interest":[40],"in":[41,167],"solving":[42,75,145],"the":[43,76,107,138,146,150],"problems.":[46,174],"In":[47,115],"this":[48],"paper,":[49],"MOPSO,":[50],"two":[52],"highly":[53],"competitive":[54],"of":[56,97,140],"MOEAs,":[57],"that":[58,154],"is,":[59],"nondominated":[60],"sorting":[61],"genetic":[62],"algorithm":[63,70],"II":[64],"(NSGA-II)":[65],"strength":[67],"Pareto":[68],"(SPEA2)":[71],"are":[72,90,104,121],"presented":[73],"for":[74,144,160],"ORPD":[77,147,161],"problem.":[78,148],"Moreover,":[79],"mixed-variable":[81],"handling":[82,88],"method":[83],"an":[85],"effective":[86],"constraint":[87],"approach":[89],"employed":[91,122],"to":[92,123,129],"deal":[93],"with":[94,127,169],"types":[96],"proposed":[102],"evaluated":[105],"on":[106],"standard":[108],"IEEE":[109],"30-bus":[110],"118-bus":[112],"test":[113],"systems.":[114],"addition,":[116],"several":[117],"performance":[119],"metrics":[120],"compare":[124],"these":[125],"respect":[128],"convergence,":[130],"diversity,":[131],"computational":[133],"efficiency.":[134],"results":[136,152],"show":[137],"effectiveness":[139],"MOEAs":[141],"MOPSO":[143,155],"Furthermore,":[149],"comparison":[151],"indicate":[153],"generally":[156],"outperforms":[157],"other":[158],"has":[163],"great":[165],"potential":[166],"dealing":[168],"large-scale":[170],"flow":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
