{"id":"https://openalex.org/W2766187173","doi":"https://doi.org/10.1109/icinfa.2017.8079080","title":"Elite opposition learning and exponential function steps-based dragonfly algorithm for global optimization","display_name":"Elite opposition learning and exponential function steps-based dragonfly algorithm for global optimization","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2766187173","doi":"https://doi.org/10.1109/icinfa.2017.8079080","mag":"2766187173"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2017.8079080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8079080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","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/A5086532094","display_name":"Junmin Song","orcid":null},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junmin Song","raw_affiliation_strings":["College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, China","institution_ids":["https://openalex.org/I167274908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036308219","display_name":"Shangping Li","orcid":"https://orcid.org/0000-0003-2032-7708"},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangping Li","raw_affiliation_strings":["College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, China","institution_ids":["https://openalex.org/I167274908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086532094"],"corresponding_institution_ids":["https://openalex.org/I167274908"],"apc_list":null,"apc_paid":null,"fwci":2.1452,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90583025,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1178","last_page":"1183"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9912999868392944,"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":0.9865999817848206,"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/dragonfly","display_name":"Dragonfly","score":0.5804373025894165},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5559402704238892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5361354947090149},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5297965407371521},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.5274367928504944},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4803560972213745},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46929460763931274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2849823832511902}],"concepts":[{"id":"https://openalex.org/C2777795971","wikidata":"https://www.wikidata.org/wiki/Q80066","display_name":"Dragonfly","level":3,"score":0.5804373025894165},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5559402704238892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5361354947090149},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5297965407371521},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.5274367928504944},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4803560972213745},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46929460763931274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2849823832511902},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C2781015247","wikidata":"https://www.wikidata.org/wiki/Q25375","display_name":"Odonata","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2017.8079080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8079080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","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":22,"referenced_works":["https://openalex.org/W414544266","https://openalex.org/W1576964358","https://openalex.org/W1616452600","https://openalex.org/W1984486311","https://openalex.org/W1990771923","https://openalex.org/W1994801856","https://openalex.org/W2001975861","https://openalex.org/W2012691599","https://openalex.org/W2023685757","https://openalex.org/W2024825302","https://openalex.org/W2061438946","https://openalex.org/W2070145903","https://openalex.org/W2111416126","https://openalex.org/W2143560894","https://openalex.org/W2363364007","https://openalex.org/W2373577270","https://openalex.org/W2547796530","https://openalex.org/W2807168676","https://openalex.org/W2963103847","https://openalex.org/W3098924781","https://openalex.org/W4246729886","https://openalex.org/W6634594593"],"related_works":["https://openalex.org/W2476349504","https://openalex.org/W1991338890","https://openalex.org/W2158570837","https://openalex.org/W2567316427","https://openalex.org/W2765506176","https://openalex.org/W2069943854","https://openalex.org/W2317591219","https://openalex.org/W4285073885","https://openalex.org/W2803488351","https://openalex.org/W3173170963"],"abstract_inverted_index":{"Dragonfly":[0,24,31],"algorithm":[1,7,132,144],"is":[2,49,71,92],"a":[3],"novel":[4],"meta-heuristic":[5,148],"optimization":[6,15,20,149],"and":[8,41,70,137,145],"was":[9,34],"originally":[10],"proposed":[11,28,131],"for":[12,94],"solving":[13],"continuous":[14],"problems.":[16],"To":[17],"enhance":[18],"the":[19,23,64,67,75,83,96,105,109,120,130],"performance":[21],"of":[22,66,79,108,122],"algorithm,":[25,32],"this":[26,80],"paper":[27],"an":[29,86],"improved":[30],"which":[33],"based":[35],"on":[36],"elite":[37,47,57],"opposition-based":[38,58],"learning":[39],"strategy":[40],"exponential":[42,90],"function":[43,91],"adaptive":[44,87],"steps.":[45],"The":[46,125],"individual":[48],"introduced":[50],"to":[51,73,118],"generate":[52],"their":[53],"opposite":[54],"solutions":[55],"by":[56],"learning.":[59],"This":[60],"mechanism":[61],"can":[62,102],"expand":[63],"scope":[65],"search":[68],"area":[69],"helpful":[72],"improve":[74],"global":[76],"exploration":[77],"capability":[78],"algorithm.":[81,110],"At":[82],"same":[84],"time,":[85],"step":[88],"with":[89],"designed":[93],"replacing":[95],"original":[97],"random":[98],"step,":[99],"so":[100],"it":[101],"speed":[103,136],"up":[104],"convergence":[106,135,139],"rate":[107],"15":[111],"typical":[112],"benchmark":[113],"test":[114],"functions":[115],"are":[116],"applied":[117],"verify":[119],"effects":[121],"these":[123],"improvements.":[124],"experimental":[126],"results":[127],"show":[128],"that":[129],"has":[133],"faster":[134],"higher":[138],"accuracy":[140],"than":[141],"basic":[142],"dragonfly":[143],"some":[146],"other":[147],"methods.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
