{"id":"https://openalex.org/W3133650893","doi":"https://doi.org/10.1109/icict50816.2021.9358512","title":"A Distributed Multithreaded Evolutionary Computing Frame Work using Differential Evolution Algorithm","display_name":"A Distributed Multithreaded Evolutionary Computing Frame Work using Differential Evolution Algorithm","publication_year":2021,"publication_date":"2021-01-20","ids":{"openalex":"https://openalex.org/W3133650893","doi":"https://doi.org/10.1109/icict50816.2021.9358512","mag":"3133650893"},"language":"en","primary_location":{"id":"doi:10.1109/icict50816.2021.9358512","doi":"https://doi.org/10.1109/icict50816.2021.9358512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icict50816.2021.9358512","pdf_url":null,"source":{"id":"https://openalex.org/S4363607933","display_name":"International Conference on Inventive Computation Technologies (ICICT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 6th International Conference on Inventive Computation Technologies (ICICT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5049278565","display_name":"S. Raghul","orcid":"https://orcid.org/0000-0002-1306-6960","observed_orcids":["https://orcid.org/0000-0002-1306-6960"]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Raghul","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042348293","display_name":"Gurusamy Jeyakumar","orcid":"https://orcid.org/0000-0002-5501-2338","observed_orcids":["https://orcid.org/0000-0002-5501-2338"]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G Jeyakumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.4701,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61539903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1145","last_page":"1151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":9.999999747378752e-05,"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/differential-evolution","display_name":"differential evolution","score":0.9710000157356262},{"id":"https://openalex.org/keywords/distributed-evolutionary-algorithms","display_name":"distributed evolutionary algorithms","score":0.8130000233650208},{"id":"https://openalex.org/keywords/data-parallelism","display_name":"data parallelism","score":0.9769999980926514},{"id":"https://openalex.org/keywords/benchmark-functions","display_name":"benchmark functions","score":0.5950000286102295},{"id":"https://openalex.org/keywords/solution-accuracy","display_name":"solution accuracy","score":0.44200000166893005},{"id":"https://openalex.org/keywords/execution-time","display_name":"execution time","score":0.6389999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017365336418152},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7315950393676758},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6055473685264587},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5319507718086243},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5247471332550049},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5009884834289551},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4952072203159332},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.4865090250968933},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4856458902359009},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4783689081668854},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47217267751693726},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4456525146961212},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4441837966442108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07297831773757935},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icict50816.2021.9358512","doi":"https://doi.org/10.1109/icict50816.2021.9358512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icict50816.2021.9358512","pdf_url":null,"source":{"id":"https://openalex.org/S4363607933","display_name":"International Conference on Inventive Computation Technologies (ICICT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 6th International Conference on Inventive Computation Technologies (ICICT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1541711858","https://openalex.org/W1576913047","https://openalex.org/W1699954493","https://openalex.org/W1879678483","https://openalex.org/W1959665805","https://openalex.org/W1967956862","https://openalex.org/W1998674867","https://openalex.org/W2031161679","https://openalex.org/W2036762380","https://openalex.org/W2089416417","https://openalex.org/W2110368321","https://openalex.org/W2144368400","https://openalex.org/W2489159973","https://openalex.org/W2541761027","https://openalex.org/W2740214879","https://openalex.org/W2897643950","https://openalex.org/W2981943969","https://openalex.org/W2991063241","https://openalex.org/W2999767464","https://openalex.org/W3010044876","https://openalex.org/W3117647011","https://openalex.org/W3137715965","https://openalex.org/W4205419095"],"related_works":["https://openalex.org/W4295873445","https://openalex.org/W4386140655","https://openalex.org/W2089416417","https://openalex.org/W2489159973","https://openalex.org/W4206974860","https://openalex.org/W1967956862","https://openalex.org/W2105360986","https://openalex.org/W4286728205","https://openalex.org/W4410639780","https://openalex.org/W2094147464"],"abstract_inverted_index":{"Differential":[0],"Evolution":[1],"(DE),":[2],"the":[3,8,33,90,96,100,116,141,152,167,172,178,183,192,196,203,207,210,216,220,227,230,233,237],"evolution":[4],"algorithm":[5,59],"(EA)":[6],"in":[7,71,109,212,242],"repository":[9],"of":[10,30,36,79,85,134,157,195,214],"evolutionary":[11],"computing":[12,24],"(EC),":[13],"is":[14,40,87],"known":[15],"for":[16,43,99,191],"its":[17,124,147],"simplicity":[18],"and":[19,45,93,122,146,182,198,202,219,236],"adaptability":[20],"to":[21,75,88,94],"high":[22],"performance":[23,125,148,162,193],"paradigms.":[25],"The":[26,82,112,161,188,223],"distributed":[27,46,57,66,73,118,129],"algorithmic":[28,228],"frameworks":[29],"DE":[31,39,119],"are":[32],"natural":[34],"extension":[35],"DE,":[37,130],"as":[38,62],"highly":[41],"suitable":[42],"parallel":[44],"computing.":[47],"This":[48,104],"paper":[49,105],"proposes":[50],"a":[51,72,127,132,155],"study":[52,108,204,239],"on":[53,131,154],"implementing":[54],"an":[55],"enhanced":[56],"differential":[58],"framework":[60,121],"(named":[61],"mtdDE":[63,86,143,199,208],"-":[64,166],"multithreaded":[65],"DE)":[67],"with":[68,126,151],"multi-threaded":[69],"islands":[70],"framework,":[74],"attain":[76],"maximum":[77],"level":[78],"data":[80],"parallelism.":[81],"main":[83],"objective":[84,168,174],"reduce":[89],"computation":[91,221],"time":[92,180,186],"improve":[95],"solution":[97,217],"quality":[98],"targeted":[101],"optimization":[102],"problems.":[103,160],"presents":[106],"this":[107,243],"two":[110],"phases.":[111],"Phase":[113,139],"I":[114],"implements":[115],"traditional":[117],"(dDE)":[120],"compares":[123],"state-of-the-art":[128],"set":[133,156],"8":[135],"benchmarking":[136,159],"functions.":[137],"In":[138],"II,":[140],"proposed":[142],"was":[144,149],"implemented":[145],"compared":[150],"dDE":[153,197,211],"4":[158],"metrics":[163,194],"considered":[164],"were":[165,200,240],"function":[169,175],"values":[170,176],"(ofv),":[171],"mean":[173],"(mov),":[177],"execution":[179,185],"(et)":[181],"average":[184],"(aet).":[187],"results":[189,234],"acquired":[190],"studied,":[201],"revealed":[205],"that":[206],"outperforms":[209],"terms":[213],"both":[215],"accuracy":[218],"time.":[222],"detailed":[224],"discussion":[225],"about":[226],"structure,":[229],"experimental":[231],"setup,":[232],"obtained":[235],"comparative":[238],"presented":[241],"paper.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-03-15T00:00:00"}