{"id":"https://openalex.org/W2032656352","doi":"https://doi.org/10.1080/10798587.2007.10642976","title":"Reactive Power Optimization Through Evolutionary Techniques: A Comparative Study Of The Ga, De And Pso Algorithms","display_name":"Reactive Power Optimization Through Evolutionary Techniques: A Comparative Study Of The Ga, De And Pso Algorithms","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2032656352","doi":"https://doi.org/10.1080/10798587.2007.10642976","mag":"2032656352"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2007.10642976","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2007.10642976","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","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/A5078394928","display_name":"B. Bhattacharyya","orcid":"https://orcid.org/0000-0003-0348-7283"},"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":false,"raw_author_name":"B. Bhattacharyya","raw_affiliation_strings":["Electrical Engg Dept. , NIT , Durgapur , 713209 , India E-mail: biplabrec@yahoo.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engg Dept. , NIT , Durgapur , 713209 , India E-mail: biplabrec@yahoo.com","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082888439","display_name":"S.K. Goswami","orcid":"https://orcid.org/0009-0000-9357-3913"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S.K. Goswami","raw_affiliation_strings":["Electrical Engg Dept. , Jadavpur University , Kolkata , India , 700032 E-mail: skgoswami_ju@yahoo.co.in"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engg Dept. , Jadavpur University , Kolkata , India , 700032 E-mail: skgoswami_ju@yahoo.co.in","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4771,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75153891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"4","first_page":"453","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9993000030517578,"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":0.9993000030517578,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9977999925613403,"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":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.8504932522773743},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5836838483810425},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5540204644203186},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.47273436188697815},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4606464207172394},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.43068113923072815},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3901088833808899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23373368382453918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09073030948638916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8504932522773743},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5836838483810425},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5540204644203186},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.47273436188697815},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4606464207172394},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.43068113923072815},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3901088833808899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23373368382453918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09073030948638916},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2007.10642976","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2007.10642976","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1626834557","https://openalex.org/W1639032689","https://openalex.org/W1975651380","https://openalex.org/W2031669947","https://openalex.org/W2052798041","https://openalex.org/W2053303841","https://openalex.org/W2087117489","https://openalex.org/W2122540828","https://openalex.org/W2152195021","https://openalex.org/W2164807043","https://openalex.org/W2176132314","https://openalex.org/W2904250082","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W3019402777","https://openalex.org/W4386596916","https://openalex.org/W3212544526","https://openalex.org/W2031835531","https://openalex.org/W2388590088","https://openalex.org/W1969166468","https://openalex.org/W2122371747","https://openalex.org/W2069224524","https://openalex.org/W2887328214","https://openalex.org/W1996526174"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"reactive":[2],"power":[3],"planning":[4],"and":[5,18,54,81],"dispatch":[6],"problems":[7],"have":[8,27],"been":[9,39],"solved":[10],"using":[11],"Genetic":[12],"algorithm":[13],"(GA),":[14],"Differential":[15,42],"evolution":[16,43],"(DE)":[17],"Particle":[19,49],"Swarm":[20],"Optimization":[21],"(PSO)":[22],"technique":[23],"in":[24],"order":[25],"to":[26],"a":[28,68],"compazative":[29],"study":[30],"on":[31],"the":[32,48,74],"performance":[33],"of":[34,87],"these":[35],"algorithms.":[36],"It":[37],"has":[38],"found":[40],"that":[41,86],"performs":[44],"best":[45],"followed":[46],"by":[47,78],"swazm":[50],"optimization.":[51],"Both":[52],"DE":[53,80],"PSO":[55,82],"can":[56],"perform":[57],"well":[58],"even":[59],"with":[60],"very":[61],"small":[62],"population":[63,71],"size":[64],"whereas":[65],"GA":[66],"needs":[67],"reasonably":[69],"large":[70],"size.":[72],"Thus,":[73],"computational":[75],"efforts":[76],"needed":[77],"both":[79],"are":[83],"less":[84],"than":[85],"GA.":[88]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
