{"id":"https://openalex.org/W4312922397","doi":"https://doi.org/10.35784/acs-2019-18","title":"USING GA FOR EVOLVING WEIGHTS IN NEURAL NETWORKS","display_name":"USING GA FOR EVOLVING WEIGHTS IN NEURAL NETWORKS","publication_year":2019,"publication_date":"2019-09-30","ids":{"openalex":"https://openalex.org/W4312922397","doi":"https://doi.org/10.35784/acs-2019-18"},"language":"en","primary_location":{"id":"doi:10.35784/acs-2019-18","doi":"https://doi.org/10.35784/acs-2019-18","is_oa":true,"landing_page_url":"https://doi.org/10.35784/acs-2019-18","pdf_url":"https://ph.pollub.pl/index.php/acs/article/download/3199/2836","source":{"id":"https://openalex.org/S2764569393","display_name":"Applied Computer Science","issn_l":"1895-3735","issn":["1895-3735","2353-6977"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus","poland-70","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317398","host_organization_name":"Polish Association for Knowledge Promotion","host_organization_lineage":["https://openalex.org/P4310317398"],"host_organization_lineage_names":["Polish Association for Knowledge Promotion"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computer Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ph.pollub.pl/index.php/acs/article/download/3199/2836","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009764196","display_name":"Wafaa Mustafa Hameed","orcid":"https://orcid.org/0000-0002-2454-6185","observed_orcids":["https://orcid.org/0000-0002-2454-6185"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wafaa Mustafa HAMEED","raw_affiliation_strings":["Assistant lecturer, Department of Computer Science, Cihan University \u2013 Slemani, Slemani"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant lecturer, Department of Computer Science, Cihan University \u2013 Slemani, Slemani","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050524374","display_name":"Asan Baker Kanbar","orcid":"https://orcid.org/0000-0002-5824-5049","observed_orcids":["https://orcid.org/0000-0002-5824-5049"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asan Baker KANBAR","raw_affiliation_strings":["Assistant lecturer, Department of Computer Science, Cihan University \u2013 Slemani, Slemani"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant lecturer, Department of Computer Science, Cihan University \u2013 Slemani, Slemani","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":100,"currency":"EUR","value_usd":109},"apc_paid":{"value":100,"currency":"EUR","value_usd":109},"fwci":0.2003,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54280373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"15","issue":"3","first_page":"21","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.8687000274658203,"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":0.8687000274658203,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.12559999525547028,"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/T10320","display_name":"Neural Networks and Applications","score":0.00279999990016222,"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/genetic-algorithm","display_name":"genetic algorithm","score":0.906000018119812},{"id":"https://openalex.org/keywords/crossover-operator","display_name":"crossover operator","score":0.9990000128746033},{"id":"https://openalex.org/keywords/crossover-probability","display_name":"crossover probability","score":0.796999990940094},{"id":"https://openalex.org/keywords/mutation-probability","display_name":"mutation probability","score":0.9419999718666077},{"id":"https://openalex.org/keywords/population-size","display_name":"population size","score":0.9990000128746033},{"id":"https://openalex.org/keywords/number-of-generations","display_name":"number of generations","score":0.7739999890327454},{"id":"https://openalex.org/keywords/xor-problem","display_name":"XOR problem","score":0.7940000295639038},{"id":"https://openalex.org/keywords/parameter-tuning","display_name":"parameter tuning","score":0.4429999887943268}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.9747338891029358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294552087783813},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6129962801933289},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.5408947467803955},{"id":"https://openalex.org/C169733012","wikidata":"https://www.wikidata.org/wiki/Q1613416","display_name":"Population size","level":3,"score":0.5386403203010559},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5347299575805664},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5345975756645203},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5315746068954468},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.393303781747818},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33992883563041687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3058938980102539},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2347073256969452},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19311141967773438},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.35784/acs-2019-18","doi":"https://doi.org/10.35784/acs-2019-18","is_oa":true,"landing_page_url":"https://doi.org/10.35784/acs-2019-18","pdf_url":"https://ph.pollub.pl/index.php/acs/article/download/3199/2836","source":{"id":"https://openalex.org/S2764569393","display_name":"Applied Computer Science","issn_l":"1895-3735","issn":["1895-3735","2353-6977"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus","poland-70","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317398","host_organization_name":"Polish Association for Knowledge Promotion","host_organization_lineage":["https://openalex.org/P4310317398"],"host_organization_lineage_names":["Polish Association for Knowledge Promotion"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:303a2b18353144a484c457dfc9de76fa","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/303a2b18353144a484c457dfc9de76fa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Computer Science, Vol 15, Iss 3, Pp 21-33 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.35784/acs-2019-18","doi":"https://doi.org/10.35784/acs-2019-18","is_oa":true,"landing_page_url":"https://doi.org/10.35784/acs-2019-18","pdf_url":"https://ph.pollub.pl/index.php/acs/article/download/3199/2836","source":{"id":"https://openalex.org/S2764569393","display_name":"Applied Computer Science","issn_l":"1895-3735","issn":["1895-3735","2353-6977"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus","poland-70","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317398","host_organization_name":"Polish Association for Knowledge Promotion","host_organization_lineage":["https://openalex.org/P4310317398"],"host_organization_lineage_names":["Polish Association for Knowledge Promotion"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312922397.pdf","grobid_xml":"https://content.openalex.org/works/W4312922397.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W19335976","https://openalex.org/W1576818901","https://openalex.org/W1639032689","https://openalex.org/W2051848379","https://openalex.org/W2097571405","https://openalex.org/W2153062976","https://openalex.org/W2767274307","https://openalex.org/W3112661916","https://openalex.org/W4301173492"],"related_works":["https://openalex.org/W4392001422","https://openalex.org/W7095148364","https://openalex.org/W2378158258","https://openalex.org/W1964551216","https://openalex.org/W2348359703","https://openalex.org/W1885637115","https://openalex.org/W2075969192","https://openalex.org/W4390095235","https://openalex.org/W2545830517","https://openalex.org/W2150381039"],"abstract_inverted_index":{"This":[0,48],"article":[1,70],"aims":[2],"at":[3],"studying":[4],"the":[5,14,23,26,46,53,72,89,95,109,112,117,137],"behavior":[6],"of":[7,10,16,25,41,52,55,65,74,106,120],"different":[8],"types":[9,54,59],"crossover":[11,56,75],"operators":[12,57],"in":[13,76],"performance":[15],"Genetic":[17],"Algorithm.":[18],"We":[19],"have":[20],"also":[21],"studied":[22],"effects":[24],"parameters":[27,96,114],"and":[28,39,104,136],"variables":[29],"(crossover":[30,98],"probability":[31,34],"(pc),":[32],"mutation":[33,100],"(pm),":[35],"population":[36,102],"size":[37,103],"(pop-size)":[38],"number":[40,105],"generation":[42],"(NG))":[43],"for":[44,116],"controlling":[45],"algorithm.":[47],"research":[49],"accumulated":[50],"most":[51],"these":[58],"are":[60,123],"implemented":[61],"on":[62],"evolving":[63],"weights":[64],"Neural":[66],"Network":[67],"problem.":[68],"The":[69],"investigates":[71],"role":[73],"GAs":[77],"with":[78],"respect":[79],"to":[80],"this":[81],"problem,":[82],"by":[83],"using":[84],"a":[85],"comparative":[86],"study":[87],"between":[88],"iteration":[90],"results":[91],"obtained":[92],"from":[93],"changing":[94],"values":[97,115],"probability,":[99],"rate,":[101],"generation).":[107],"From":[108],"experimental":[110],"results,":[111],"best":[113,138],"Evolving":[118],"Weights":[119],"XOR-NN":[121],"problem":[122],"NG":[124],"=":[125,128,131,134],"1000,":[126],"pop-size":[127],"50,":[129],"pm":[130],"0.001,":[132],"pc":[133],"0.5":[135],"operator":[139],"is":[140],"Line":[141],"Recombination":[142],"crossover.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2023-01-05T00:00:00"}