{"id":"https://openalex.org/W3003778728","doi":"https://doi.org/10.1109/icumt48472.2019.8970944","title":"Comparison of Models of Parallelized Genetic Algorithms","display_name":"Comparison of Models of Parallelized Genetic Algorithms","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3003778728","doi":"https://doi.org/10.1109/icumt48472.2019.8970944","mag":"3003778728"},"language":"en","primary_location":{"id":"doi:10.1109/icumt48472.2019.8970944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt48472.2019.8970944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","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/A5065487118","display_name":"Vladislav \u0160korpil","orcid":"https://orcid.org/0000-0003-0957-0563"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vladislav Skorpil","raw_affiliation_strings":["Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","Department of Telecommunications, Brno University of Technology, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"Department of Telecommunications, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018939391","display_name":"V\u00e1clav Oujezsk\u00fd","orcid":"https://orcid.org/0000-0001-7629-6299"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vaclav Oujezsky","raw_affiliation_strings":["Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","Department of Telecommunications, Brno University of Technology, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"Department of Telecommunications, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074668709","display_name":"Martin Tuleja","orcid":null},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Martin Tuleja","raw_affiliation_strings":["Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","Department of Telecommunications, Brno University of Technology, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"Department of Telecommunications, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60587646"],"apc_list":null,"apc_paid":null,"fwci":0.4339,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73569466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9843000173568726,"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":0.9843000173568726,"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/computer-science","display_name":"Computer science","score":0.807094156742096},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.8062810897827148},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.569695770740509},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.566271960735321},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5488930940628052},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4640689492225647},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.44686123728752136},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4271775782108307},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42191022634506226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16931986808776855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807094156742096},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8062810897827148},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.569695770740509},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.566271960735321},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5488930940628052},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4640689492225647},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.44686123728752136},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4271775782108307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42191022634506226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16931986808776855},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icumt48472.2019.8970944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt48472.2019.8970944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W578338354","https://openalex.org/W1036195498","https://openalex.org/W1515588778","https://openalex.org/W2134954564","https://openalex.org/W2564774301","https://openalex.org/W2997982921","https://openalex.org/W3009775047","https://openalex.org/W6616730616","https://openalex.org/W6630969796","https://openalex.org/W6775123733"],"related_works":["https://openalex.org/W2207495067","https://openalex.org/W1906486629","https://openalex.org/W2070865675","https://openalex.org/W2071635571","https://openalex.org/W4212854884","https://openalex.org/W1970073092","https://openalex.org/W2070426974","https://openalex.org/W2054653010","https://openalex.org/W1657646819","https://openalex.org/W338671845"],"abstract_inverted_index":{"The":[0,93],"aim":[1],"of":[2,13,15,25,32,53,62,102],"the":[3,8,23,26,30,38,42,59,63,74,81,85,90,98],"paper":[4],"is":[5,44],"to":[6,21],"describe":[7],"most":[9],"widely":[10],"used":[11],"methods":[12],"parallelization":[14],"Genetic":[16],"Algorithms":[17],"(GA)":[18],"and":[19,67,89,100],"subsequently":[20],"use":[22],"outputs":[24],"theoretical":[27,60],"part":[28,61,95],"for":[29],"design":[31,43,99],"implementation.":[33],"Python":[34],"was":[35],"chosen":[36],"as":[37],"implementation":[39,101],"language,":[40],"so":[41],"implemented":[45],"with":[46,97],"this":[47],"language":[48],"in":[49,58],"mind.":[50],"Selected":[51],"problems":[52,66],"sequential":[54],"GA":[55],"are":[56,70,73],"described":[57],"paper.":[64],"Optimization":[65],"parallel":[68],"models":[69],"described.":[71],"They":[72],"Global":[75],"One":[76],"-":[77],"Population":[78],"Master-Slave":[79],"Model,":[80,84,88],"One-Population":[82],"Fine-Grained":[83],"Multi-Population":[86],"Coarse-Grained":[87],"Hierarchical":[91],"Model.":[92],"practical":[94],"deals":[96],"parallelized":[103],"GA.":[104]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
