{"id":"https://openalex.org/W2983945933","doi":"https://doi.org/10.1109/access.2019.2953776","title":"Adaptive Differential Evolution Algorithm Based on Restart Mechanism and Direction Information","display_name":"Adaptive Differential Evolution Algorithm Based on Restart Mechanism and Direction Information","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2983945933","doi":"https://doi.org/10.1109/access.2019.2953776","mag":"2983945933"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2953776","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953776","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08902124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08902124.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100660323","display_name":"Yaxuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ya-Xuan Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102974560","display_name":"Jin Gou","orcid":"https://orcid.org/0000-0001-6873-6389"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Gou","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100660323"],"corresponding_institution_ids":["https://openalex.org/I119045251"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.578,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.7645185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"166803","last_page":"166814"},"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":0.9990000128746033,"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":0.9853000044822693,"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/sort","display_name":"sort","score":0.7470517158508301},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6639745235443115},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6525098085403442},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.6008467674255371},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5819586515426636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5690913200378418},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5637851357460022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5487358570098877},{"id":"https://openalex.org/keywords/adaptive-mutation","display_name":"Adaptive mutation","score":0.4116186797618866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3544040620326996},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.25315770506858826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20034626126289368}],"concepts":[{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.7470517158508301},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6639745235443115},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6525098085403442},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.6008467674255371},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5819586515426636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5690913200378418},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5637851357460022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5487358570098877},{"id":"https://openalex.org/C192122231","wikidata":"https://www.wikidata.org/wiki/Q4680754","display_name":"Adaptive mutation","level":3,"score":0.4116186797618866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3544040620326996},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.25315770506858826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20034626126289368},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2953776","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953776","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08902124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d0ab422ff84846a68ff45dbe667fcacb","is_oa":true,"landing_page_url":"https://doaj.org/article/d0ab422ff84846a68ff45dbe667fcacb","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 166803-166814 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2953776","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953776","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08902124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2532283240","display_name":null,"funder_award_id":"61572204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2983945933.pdf","grobid_xml":"https://content.openalex.org/works/W2983945933.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W600632748","https://openalex.org/W1574531841","https://openalex.org/W1576888158","https://openalex.org/W1595159159","https://openalex.org/W1879678483","https://openalex.org/W1886893343","https://openalex.org/W1923378012","https://openalex.org/W1986073756","https://openalex.org/W2018299061","https://openalex.org/W2018311599","https://openalex.org/W2025384628","https://openalex.org/W2028031385","https://openalex.org/W2028261435","https://openalex.org/W2088424609","https://openalex.org/W2113865612","https://openalex.org/W2117250519","https://openalex.org/W2125332715","https://openalex.org/W2127130980","https://openalex.org/W2137340504","https://openalex.org/W2155529731","https://openalex.org/W2156194072","https://openalex.org/W2166513470","https://openalex.org/W2310612427","https://openalex.org/W2345178486","https://openalex.org/W2541775279","https://openalex.org/W2593807586","https://openalex.org/W2617636565","https://openalex.org/W2621266183","https://openalex.org/W2732171826","https://openalex.org/W2742431210","https://openalex.org/W2745449279","https://openalex.org/W2750761106","https://openalex.org/W2775287056","https://openalex.org/W2797204974","https://openalex.org/W2899191645","https://openalex.org/W2899649886","https://openalex.org/W2903569983","https://openalex.org/W2930729487","https://openalex.org/W3015222189"],"related_works":["https://openalex.org/W2895647686","https://openalex.org/W2076472895","https://openalex.org/W2389275641","https://openalex.org/W1988293173","https://openalex.org/W3177681191","https://openalex.org/W2039847237","https://openalex.org/W1979249555","https://openalex.org/W4386858344","https://openalex.org/W3193631885","https://openalex.org/W2997917529"],"abstract_inverted_index":{"Differential":[0],"evolution":[1,37],"is":[2,43,68,90,113,165],"a":[3,30,58],"competent":[4],"algorithm":[5],"for":[6,45],"solving":[7,46],"single":[8],"objective":[9],"real-parameter":[10],"optimization":[11,49],"problems.":[12],"In":[13,54,116],"order":[14,117],"to":[15,84,97,118],"enhance":[16],"the":[17,55,64,73,87,93,104,121,146,154,201],"performance":[18,155],"of":[19,72,103,109,123,152,156,200,203],"adaptive":[20,35,133,186],"DE":[21,32,134,187],"algorithms":[22],"based":[23,62],"on":[24,63,174],"successful":[25],"parameters,":[26],"in":[27,92,178,198],"this":[28,81],"paper,":[29],"new":[31],"algorithm,":[33,57],"called":[34],"differential":[36],"restart":[38,94],"and":[39,139,159],"direction,":[40],"abbreviated":[41],"ADERD,":[42],"proposed":[44,56,125,148],"global":[47],"numerical":[48],"problems":[50],"over":[51],"continuous":[52],"space.":[53],"novel":[59,82],"mutation":[60],"strategy":[61,83],"feasible":[65],"descent":[66],"direction":[67],"introduced.":[69,115],"Only":[70],"individuals":[71],"population":[74],"top":[75],"ranked":[76],"with":[77,184],"smaller":[78],"errors":[79],"adopt":[80],"mutate.":[85],"Additionally,":[86],"variable":[88],"coefficient":[89],"used":[91],"mechanism":[95,108],"first":[96],"avoid":[98],"stagnation":[99],"and/or":[100],"jump":[101],"out":[102],"local":[105],"optima.":[106],"Modified":[107],"crossover":[110],"probability":[111],"sorting":[112],"also":[114],"better":[119],"understand":[120],"effectiveness":[122],"our":[124,147],"strategies,":[126],"those":[127],"are":[128,150],"integrated":[129],"into":[130],"two":[131],"representative":[132],"variants,":[135],"i.e.":[136],"JADE_":[137,140,157,160,163],"rcr":[138,158],"sort.":[141,161,169],"Experimental":[142],"results":[143,197],"demonstrate":[144],"that":[145],"strategies":[149],"capable":[151],"enhancing":[153],"Improved":[162],"sort":[164,190],"denoted":[166],"as":[167],"ADERD_":[168,189],"Experiments":[170],"have":[171],"been":[172],"conducted":[173],"30":[175],"functions":[176],"presented":[177],"CEC":[179],"2017":[180],"competition.":[181],"Moreover,":[182],"compared":[183],"recent":[185],"algorithms,":[188],"obtains":[191],"better,":[192],"or":[193],"at":[194],"least":[195],"comparable,":[196],"terms":[199],"quality":[202],"final":[204],"solutions.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
