{"id":"https://openalex.org/W2026662199","doi":"https://doi.org/10.1109/cec.2014.6900249","title":"An enhanced non-dominated sorting based fruit fly optimization algorithm for solving environmental economic dispatch problem","display_name":"An enhanced non-dominated sorting based fruit fly optimization algorithm for solving environmental economic dispatch problem","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2026662199","doi":"https://doi.org/10.1109/cec.2014.6900249","mag":"2026662199"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900249","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/A5060249411","display_name":"Xiaolong Zheng","orcid":"https://orcid.org/0000-0001-7950-6773"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolong Zheng","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, Beijing (China)"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing (China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398661","display_name":"Ling Wang","orcid":"https://orcid.org/0000-0001-8964-6454"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Wang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, Beijing (China)"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing (China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056591048","display_name":"Shengyao Wang","orcid":"https://orcid.org/0000-0002-2748-483X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyao Wang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, Beijing (China)"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing (China)","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060249411"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2093,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5839145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"626","last_page":"633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","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/T10424","display_name":"Electric Power System Optimization","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/T10603","display_name":"Smart Grid Energy Management","score":0.9979000091552734,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.8187854886054993},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.69866943359375},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.6862881183624268},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5623471140861511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5524248480796814},{"id":"https://openalex.org/keywords/taguchi-methods","display_name":"Taguchi methods","score":0.50422203540802},{"id":"https://openalex.org/keywords/ideal-solution","display_name":"Ideal solution","score":0.49436473846435547},{"id":"https://openalex.org/keywords/dominance","display_name":"Dominance (genetics)","score":0.475685715675354},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4516085088253021},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.43150606751441956},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4240383505821228},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.41910502314567566},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4131987392902374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4099583327770233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3448393642902374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15261617302894592},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.11747387051582336}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.8187854886054993},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.69866943359375},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.6862881183624268},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5623471140861511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5524248480796814},{"id":"https://openalex.org/C83469408","wikidata":"https://www.wikidata.org/wiki/Q2036525","display_name":"Taguchi methods","level":2,"score":0.50422203540802},{"id":"https://openalex.org/C89591040","wikidata":"https://www.wikidata.org/wiki/Q1779030","display_name":"Ideal solution","level":2,"score":0.49436473846435547},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.475685715675354},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4516085088253021},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.43150606751441956},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4240383505821228},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.41910502314567566},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4131987392902374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4099583327770233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3448393642902374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15261617302894592},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.11747387051582336},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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.2014.6900249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900249","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1970827582","https://openalex.org/W1972591816","https://openalex.org/W1976355718","https://openalex.org/W1981013195","https://openalex.org/W1996020571","https://openalex.org/W2007324215","https://openalex.org/W2010978780","https://openalex.org/W2013249762","https://openalex.org/W2021574979","https://openalex.org/W2024786755","https://openalex.org/W2030350848","https://openalex.org/W2035230809","https://openalex.org/W2041545890","https://openalex.org/W2053425568","https://openalex.org/W2057057119","https://openalex.org/W2065109455","https://openalex.org/W2070992994","https://openalex.org/W2078369687","https://openalex.org/W2083333038","https://openalex.org/W2089912270","https://openalex.org/W2091114144","https://openalex.org/W2093195672","https://openalex.org/W2097722970","https://openalex.org/W2110025062","https://openalex.org/W2483479423","https://openalex.org/W2764796714"],"related_works":["https://openalex.org/W2293394021","https://openalex.org/W2347675019","https://openalex.org/W2367947563","https://openalex.org/W2890644467","https://openalex.org/W2612149696","https://openalex.org/W4387430003","https://openalex.org/W3135485754","https://openalex.org/W1990029659","https://openalex.org/W2884422668","https://openalex.org/W1997038546"],"abstract_inverted_index":{"A":[0],"fruit":[1,54,73],"fly":[2,74],"optimization":[3],"algorithm":[4],"based":[5,123],"on":[6,124],"the":[7,16,24,30,33,39,49,64,67,71,79,85,88,102,113,125,147,159,171,174],"enhanced":[8,34,80],"non-dominated":[9,28,114],"sorting":[10],"(ESFOA)":[11],"is":[12,36,75,98,109,121,137],"proposed":[13,175],"to":[14,59,78,95,100,111,153,166],"solve":[15],"environmental":[17],"economic":[18],"dispatch":[19],"(EED)":[20],"problem.":[21],"To":[22,47,83],"measure":[23],"difference":[25],"between":[26],"two":[27],"solutions,":[29,90],"concept":[31],"of":[32,41,87,118,128,130,173],"non-dominance":[35,44,81],"defined,":[37],"and":[38,43,132],"degrees":[40],"dominance":[42],"are":[45,57,142],"presented.":[46],"enhance":[48],"parallel":[50],"search":[51,62,69],"ability,":[52],"multiple":[53],"flies":[55],"groups":[56],"used":[58,110],"perform":[60],"evolutionary":[61],"in":[63],"ESFOA.":[65],"In":[66],"vision-based":[68],"process,":[70],"best":[72],"determined":[76],"according":[77],"value.":[82],"guarantee":[84],"feasibility":[86],"new":[89],"an":[91,106],"effective":[92],"heuristic":[93],"mechanism":[94],"handle":[96],"constraints":[97],"adopted":[99],"repair":[101],"infeasible":[103],"solutions.":[104,115],"Meanwhile,":[105],"external":[107],"archive":[108],"store":[112],"The":[116,151],"influence":[117],"parameter":[119,135],"setting":[120,136],"investigated":[122],"Taguchi":[126],"method":[127],"design":[129],"experiment,":[131],"a":[133],"suitable":[134],"suggested.":[138],"Finally,":[139],"numerical":[140],"tests":[141],"carried":[143],"out":[144],"by":[145,157,164],"using":[146,158],"IEEE":[148],"30-bus":[149],"benchmark.":[150],"comparisons":[152],"some":[154],"existing":[155],"methods":[156],"technique":[160],"for":[161],"order":[162],"preference":[163],"similarity":[165],"ideal":[167],"solution":[168],"(TOPSIS)":[169],"demonstrate":[170],"effectiveness":[172],"algorithm.":[176]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}