{"id":"https://openalex.org/W2003275020","doi":"https://doi.org/10.1109/scis-isis.2014.7044726","title":"An algorithm of set-based differential evolution for traveling salesman problem","display_name":"An algorithm of set-based differential evolution for traveling salesman problem","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2003275020","doi":"https://doi.org/10.1109/scis-isis.2014.7044726","mag":"2003275020"},"language":"en","primary_location":{"id":"doi:10.1109/scis-isis.2014.7044726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","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/A5101706896","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0003-3897-9085"},"institutions":[{"id":"https://openalex.org/I100722782","display_name":"Fukuoka Institute of Technology","ror":"https://ror.org/00bmxak18","country_code":"JP","type":"education","lineage":["https://openalex.org/I100722782"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tao Liu","raw_affiliation_strings":["Fukuoka Institute of Technology, Fukuoka, Japan","Fukuoka Institute of Technology 3\u201030\u20101, Wajiro\u2010higashi, Higashi\u2010ku Fukuoka 811\u20100295 Japan"],"affiliations":[{"raw_affiliation_string":"Fukuoka Institute of Technology, Fukuoka, Japan","institution_ids":["https://openalex.org/I100722782"]},{"raw_affiliation_string":"Fukuoka Institute of Technology 3\u201030\u20101, Wajiro\u2010higashi, Higashi\u2010ku Fukuoka 811\u20100295 Japan","institution_ids":["https://openalex.org/I100722782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065091406","display_name":"Michiharu Maeda","orcid":"https://orcid.org/0000-0003-1711-340X"},"institutions":[{"id":"https://openalex.org/I100722782","display_name":"Fukuoka Institute of Technology","ror":"https://ror.org/00bmxak18","country_code":"JP","type":"education","lineage":["https://openalex.org/I100722782"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michiharu Maeda","raw_affiliation_strings":["Fukuoka Institute of Technology, Fukuoka, Japan","Fukuoka Institute of Technology 3\u201030\u20101, Wajiro\u2010higashi, Higashi\u2010ku Fukuoka 811\u20100295 Japan"],"affiliations":[{"raw_affiliation_string":"Fukuoka Institute of Technology, Fukuoka, Japan","institution_ids":["https://openalex.org/I100722782"]},{"raw_affiliation_string":"Fukuoka Institute of Technology 3\u201030\u20101, Wajiro\u2010higashi, Higashi\u2010ku Fukuoka 811\u20100295 Japan","institution_ids":["https://openalex.org/I100722782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101706896"],"corresponding_institution_ids":["https://openalex.org/I100722782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06756378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"81","last_page":"86"},"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":0.9988999962806702,"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":0.9829000234603882,"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/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.8657866716384888},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.760591447353363},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.567616879940033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5669342875480652},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.533220648765564},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5277472138404846},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5205379724502563},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5114299654960632},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49752452969551086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4779805541038513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4600166976451874},{"id":"https://openalex.org/keywords/bottleneck-traveling-salesman-problem","display_name":"Bottleneck traveling salesman problem","score":0.44757041335105896},{"id":"https://openalex.org/keywords/christofides-algorithm","display_name":"Christofides algorithm","score":0.4376010000705719},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.43175193667411804},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4262770414352417},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4194742441177368},{"id":"https://openalex.org/keywords/2-opt","display_name":"2-opt","score":0.41733571887016296}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.8657866716384888},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.760591447353363},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.567616879940033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5669342875480652},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.533220648765564},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5277472138404846},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5205379724502563},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5114299654960632},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49752452969551086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4779805541038513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4600166976451874},{"id":"https://openalex.org/C7668213","wikidata":"https://www.wikidata.org/wiki/Q4949085","display_name":"Bottleneck traveling salesman problem","level":3,"score":0.44757041335105896},{"id":"https://openalex.org/C138600008","wikidata":"https://www.wikidata.org/wiki/Q498144","display_name":"Christofides algorithm","level":4,"score":0.4376010000705719},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.43175193667411804},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4262770414352417},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4194742441177368},{"id":"https://openalex.org/C106472803","wikidata":"https://www.wikidata.org/wiki/Q291440","display_name":"2-opt","level":3,"score":0.41733571887016296},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scis-isis.2014.7044726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","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":17,"referenced_works":["https://openalex.org/W600632748","https://openalex.org/W1504391786","https://openalex.org/W1511451563","https://openalex.org/W1559956479","https://openalex.org/W1879678483","https://openalex.org/W1978970913","https://openalex.org/W2042986967","https://openalex.org/W2102248717","https://openalex.org/W2120204384","https://openalex.org/W2156194072","https://openalex.org/W2163428398","https://openalex.org/W2165299997","https://openalex.org/W2284330674","https://openalex.org/W2321588633","https://openalex.org/W2379079663","https://openalex.org/W2468811940","https://openalex.org/W4205641878"],"related_works":["https://openalex.org/W4389782626","https://openalex.org/W1595757466","https://openalex.org/W4200179302","https://openalex.org/W2766731260","https://openalex.org/W1645834615","https://openalex.org/W2171568915","https://openalex.org/W2980689483","https://openalex.org/W3210931532","https://openalex.org/W4246557197","https://openalex.org/W2758988501"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,17,47,71,96,110,118,130,146,150],"concerned":[3],"with":[4,124],"combinatorial":[5],"optimization":[6],"problems":[7],"(COPs)":[8],"for":[9,76,82,100,154],"traveling":[10],"salesman":[11],"problem":[12],"(TSP).":[13],"Differential":[14],"evolution":[15,45,57],"(DE)":[16,58],"a":[18,50],"population-based":[19],"stochastic":[20],"technique":[21],"of":[22,102,116,122,128,136,144],"evolutionary":[23],"algorithm":[24],"(EA),":[25],"which":[26],"has":[27],"been":[28],"widely":[29],"used":[30],"to":[31,59],"solve":[32],"COPs":[33,103],"over":[34],"continuous":[35],"space":[36],"in":[37,98,104,152],"many":[38],"scientific":[39],"and":[40,86,112,148],"engineering":[41],"fields.":[42],"Set-based":[43],"differential":[44,56],"(SBDE)":[46],"based":[48],"on":[49,132],"set-based":[51],"representation":[52],"scheme":[53],"that":[54,141],"enables":[55],"characterize":[60],"the":[61,69,74,77,113,125,137,142],"discrete":[62,105],"search":[63],"space.":[64,106],"A":[65],"parameter":[66],"\u03c9":[67,109,117,129],"indicating":[68],"possibility":[70,108],"added":[72],"into":[73],"formula":[75],"mutation.":[78],"All":[79],"arithmetic":[80],"operators":[81],"elements,":[83],"individuals,":[84],"vectors":[85],"are":[87],"replaced":[88],"by":[89],"new":[90],"definitions.":[91],"In":[92],"this":[93],"paper,":[94],"SBDE":[95,123,145,149],"amplified":[97],"detail":[99],"TSP":[101],"The":[107,120,134],"tested":[111],"range":[114,126],"allowed":[115,127],"identified.":[119],"performance":[121],"evaluated":[131],"TSP.":[133,155],"results":[135],"numerical":[138],"experiments":[139],"show":[140],"convergence":[143],"fast":[147],"effective":[151],"quality":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}