{"id":"https://openalex.org/W1978500138","doi":"https://doi.org/10.1109/icinfa.2014.6932728","title":"An improvement of fruit fly optimization algorithm for solving traveling salesman problems","display_name":"An improvement of fruit fly optimization algorithm for solving traveling salesman problems","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1978500138","doi":"https://doi.org/10.1109/icinfa.2014.6932728","mag":"1978500138"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2014.6932728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2014.6932728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Information and Automation (ICIA)","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":null,"display_name":"Li Hengyu","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Hengyu","raw_affiliation_strings":["Shanghai University, Shanghai, Shanghai, CN","[School of Mechatronics Engineering and Automation, Shanghai University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"[School of Mechatronics Engineering and Automation, Shanghai University]","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102015604","display_name":"Jiqing Chen","orcid":"https://orcid.org/0000-0003-0671-6790"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Jiqing","raw_affiliation_strings":["Shanghai University, Shanghai, Shanghai, CN","[School of Mechatronics Engineering and Automation, Shanghai University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"[School of Mechatronics Engineering and Automation, Shanghai University]","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103594730","display_name":"Huang Quanzhen","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Quanzhen","raw_affiliation_strings":["Shanghai University, Shanghai, Shanghai, CN","[School of Mechatronics Engineering and Automation, Shanghai University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"[School of Mechatronics Engineering and Automation, Shanghai University]","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xie Shaorong","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie Shaorong","raw_affiliation_strings":["Shanghai University, Shanghai, Shanghai, CN","[School of Mechatronics Engineering and Automation, Shanghai University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"[School of Mechatronics Engineering and Automation, Shanghai University]","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003071055","display_name":"Jun Luo","orcid":"https://orcid.org/0000-0003-4475-2338"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luo Jun","raw_affiliation_strings":["Shanghai University, Shanghai, Shanghai, CN","[School of Mechatronics Engineering and Automation, Shanghai University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"[School of Mechatronics Engineering and Automation, Shanghai University]","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"620","last_page":"623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9943000078201294,"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":0.9943000078201294,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12601","display_name":"Web Applications and Data Management","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.7707992196083069},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6994378566741943},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6532483100891113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5202525854110718},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.4926448464393616},{"id":"https://openalex.org/keywords/extremal-optimization","display_name":"Extremal optimization","score":0.4714181125164032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4659463167190552},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4628872573375702},{"id":"https://openalex.org/keywords/2-opt","display_name":"2-opt","score":0.4573513865470886},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.45681652426719666},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45168739557266235},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.43942970037460327},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4366462230682373},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4159901738166809},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.41283226013183594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3588635325431824}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.7707992196083069},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6994378566741943},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6532483100891113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5202525854110718},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.4926448464393616},{"id":"https://openalex.org/C188919014","wikidata":"https://www.wikidata.org/wiki/Q5422296","display_name":"Extremal optimization","level":4,"score":0.4714181125164032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4659463167190552},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4628872573375702},{"id":"https://openalex.org/C106472803","wikidata":"https://www.wikidata.org/wiki/Q291440","display_name":"2-opt","level":3,"score":0.4573513865470886},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.45681652426719666},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45168739557266235},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.43942970037460327},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4366462230682373},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4159901738166809},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.41283226013183594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3588635325431824},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2014.6932728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2014.6932728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1982052938","https://openalex.org/W2001577217","https://openalex.org/W2013249762","https://openalex.org/W2034027189","https://openalex.org/W2044466855","https://openalex.org/W2050149390","https://openalex.org/W2068206361","https://openalex.org/W2093195672","https://openalex.org/W2117071111","https://openalex.org/W2137042221","https://openalex.org/W2155694204","https://openalex.org/W2228496237","https://openalex.org/W2315405480","https://openalex.org/W2382040750"],"related_works":["https://openalex.org/W3001379520","https://openalex.org/W2146364482","https://openalex.org/W1604040598","https://openalex.org/W2734778418","https://openalex.org/W2549218906","https://openalex.org/W2123233098","https://openalex.org/W2972533512","https://openalex.org/W3013791021","https://openalex.org/W2133004095","https://openalex.org/W4224271060"],"abstract_inverted_index":{"TSP":[0,58],"(Traveling":[1],"Salesman":[2],"Problem,":[3],"TSP)":[4],"is":[5,14,61,94,113,127],"a":[6,15,20,41,52,56],"classic":[7],"combinatorial":[8],"optimization":[9,69,80,125,137,142],"problem":[10],"and":[11,89,103,139],"nowadays":[12],"it":[13,38],"hot":[16],"topic":[17],"to":[18,46,129],"find":[19,47],"high":[21],"precision":[22],"algorithm":[23,60,126,138,143],"with":[24,33,133],"short":[25],"solving":[26,59,73],"time.":[27],"As":[28],"its":[29],"search":[30,117],"space":[31],"increases":[32,116],"the":[34,48,98,101,121],"number":[35],"of":[36,43,76,100,108],"cities,":[37],"often":[39],"requires":[40],"lot":[42],"computation":[44],"time":[45],"optimal":[49,88],"solution":[50],"in":[51],"large":[53],"space.":[54],"So":[55],"new":[57],"proposed":[62],"based":[63],"on":[64],"an":[65],"improved":[66,122],"fruit":[67,78,123,135],"fly":[68,79,124,136],"algorithm.":[70],"Aiming":[71],"at":[72],"these":[74],"shortcomings":[75],"standard":[77,134],"algorithm,":[81],"such":[82],"as":[83],"easily":[84],"plunging":[85],"into":[86],"local":[87],"low":[90],"convergence-rate,":[91],"mutation":[92],"operator":[93],"introduced,":[95],"which":[96,115],"improves":[97],"diversity":[99],"population":[102],"prevents":[104],"premature.":[105],"The":[106],"strategy":[107],"adaptive":[109],"variable":[110],"step":[111],"size":[112],"adopted,":[114],"efficiency":[118],"effectively.":[119],"Finally,":[120],"verified":[128],"be":[130],"efficient,":[131],"comparing":[132],"particle":[140],"swarm":[141],"benchmarked":[144],"against":[145],"TSPLIB.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}