{"id":"https://openalex.org/W4294811522","doi":"https://doi.org/10.1109/cec55065.2022.9870335","title":"A multifactorial differential evolution with hybrid global and local search strategies","display_name":"A multifactorial differential evolution with hybrid global and local search strategies","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4294811522","doi":"https://doi.org/10.1109/cec55065.2022.9870335"},"language":"en","primary_location":{"id":"doi:10.1109/cec55065.2022.9870335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870335","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5014830603","display_name":"Mingyu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyu Xu","raw_affiliation_strings":["College of Computer Science and Software Engineering Shenzhen University,Shenzhen,China,518060"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering Shenzhen University,Shenzhen,China,518060","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068996867","display_name":"Yongjin Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjin Zheng","raw_affiliation_strings":["College of Computer Science and Software Engineering Shenzhen University,Shenzhen,China,518060"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering Shenzhen University,Shenzhen,China,518060","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068243197","display_name":"Yew-Soon Ong","orcid":"https://orcid.org/0000-0002-4480-169X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yew-Soon Ong","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University,Singapore,639798"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052762681","display_name":"Zexuan Zhu","orcid":"https://orcid.org/0000-0001-8479-6904"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexuan Zhu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China,518060"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen,China,518060","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073898438","display_name":"Xiaoliang Ma","orcid":"https://orcid.org/0000-0002-8047-3224"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Ma","raw_affiliation_strings":["College of Computer Science and Software Engineering Shenzhen University,Shenzhen,China,518060"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering Shenzhen University,Shenzhen,China,518060","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014830603"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.4162,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5776006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"09"},"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":0.9998999834060669,"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":0.9929999709129333,"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/premature-convergence","display_name":"Premature convergence","score":0.7478268146514893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6325182914733887},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5878474712371826},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5810821056365967},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5548275709152222},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5433043837547302},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5236337184906006},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.5123187303543091},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4966157078742981},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47038426995277405},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44183436036109924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.393754243850708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3678690791130066},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.2797837257385254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18768149614334106}],"concepts":[{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.7478268146514893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6325182914733887},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5878474712371826},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5810821056365967},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5548275709152222},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5433043837547302},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5236337184906006},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.5123187303543091},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4966157078742981},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47038426995277405},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44183436036109924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.393754243850708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3678690791130066},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2797837257385254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18768149614334106},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/cec55065.2022.9870335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870335","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G4209066795","display_name":null,"funder_award_id":"61976143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W873008480","https://openalex.org/W1532651649","https://openalex.org/W1595159159","https://openalex.org/W2102386495","https://openalex.org/W2105217850","https://openalex.org/W2119595900","https://openalex.org/W2126105956","https://openalex.org/W2155146419","https://openalex.org/W2165232124","https://openalex.org/W2410677328","https://openalex.org/W2413527939","https://openalex.org/W2623876502","https://openalex.org/W2727592975","https://openalex.org/W2734259173","https://openalex.org/W2888985868","https://openalex.org/W2904346582","https://openalex.org/W2913340405","https://openalex.org/W2921687288","https://openalex.org/W2923639984","https://openalex.org/W2955296263","https://openalex.org/W3010117582","https://openalex.org/W3035146471","https://openalex.org/W6677658955","https://openalex.org/W6738788122","https://openalex.org/W6779277692"],"related_works":["https://openalex.org/W2394392475","https://openalex.org/W2017510848","https://openalex.org/W2367365720","https://openalex.org/W2079483465","https://openalex.org/W2069937987","https://openalex.org/W2107894985","https://openalex.org/W4319074235","https://openalex.org/W2911471039","https://openalex.org/W2021957875","https://openalex.org/W2015132550"],"abstract_inverted_index":{"Evolutionary":[0],"multitasking":[1],"optimization":[2,6,51],"(EMTO)":[3],"solves":[4],"multiple":[5],"tasks":[7],"meanwhile":[8],"in":[9],"the":[10,18,32,92,108,130,142,147,152,171,174],"framework":[11],"of":[12,31,55,81,173],"evolutionary":[13,37],"algorithm,":[14],"aiming":[15],"at":[16],"improving":[17],"solving":[19],"performance":[20],"on":[21,98,151,161],"each":[22],"task":[23],"via":[24],"knowledge":[25],"transfer":[26],"among":[27],"tasks.":[28],"As":[29],"one":[30],"representative":[33],"EMTO":[34],"algorithms,":[35],"multifactorial":[36],"algorithm":[38],"(MFEA)":[39],"has":[40,45],"attracted":[41],"great":[42],"attention":[43],"and":[44,78,83,102,111,125,164],"been":[46],"used":[47],"to":[48,58,106,128,140,169],"solve":[49],"many":[50],"problems.":[52],"However,":[53],"most":[54],"MFEAs":[56],"tend":[57],"suffer":[59],"from":[60],"premature":[61],"convergence.":[62,131],"To":[63],"deal":[64],"with":[65],"this":[66,68],"issue,":[67],"article":[69],"designs":[70],"a":[71,79,103,133],"novel":[72],"MFEA":[73],"by":[74,121],"integrating":[75],"differential":[76],"evolution,":[77],"hybrid":[80],"global":[82,93],"local":[84,116],"search":[85,94,109,117,124,127],"strategies,":[86],"named":[87],"MFDE-GLS":[88],"for":[89],"short.":[90],"Particularly,":[91],"strategy":[95,118],"is":[96,119,138],"based":[97,150],"an":[99],"opposition-based":[100],"learning":[101],"Gaussian":[104],"perturbation":[105],"improve":[107],"ability":[110],"maintain":[112],"population":[113,148],"diversity.":[114],"A":[115],"introduced":[120],"combining":[122],"1-dimension":[123],"n-dimension":[126],"accelerate":[129],"Moreover,":[132],"new":[134],"environmental":[135],"selection":[136],"mechanism":[137],"developed":[139],"keep":[141],"elite":[143],"individuals":[144],"while":[145],"maintaining":[146],"diversity":[149],"affinity":[153],"propagation":[154],"clustering":[155],"method.":[156],"Comprehensive":[157],"experiments":[158],"were":[159],"conducted":[160],"both":[162],"single-objective":[163],"multi-objective":[165],"multi-task":[166],"benchmark":[167],"problems":[168],"show":[170],"effectiveness":[172],"proposed":[175],"algorithm.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}