{"id":"https://openalex.org/W2062932280","doi":"https://doi.org/10.1080/10798587.2008.10643005","title":"A Modified Genetic Algorithm for Training Adaptive Fuzzy Systems","display_name":"A Modified Genetic Algorithm for Training Adaptive Fuzzy Systems","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2062932280","doi":"https://doi.org/10.1080/10798587.2008.10643005","mag":"2062932280"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2008.10643005","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2008.10643005","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-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/A5077592668","display_name":"Dia Abualnadi","orcid":"https://orcid.org/0000-0003-1555-0059"},"institutions":[{"id":"https://openalex.org/I114972647","display_name":"University of Jordan","ror":"https://ror.org/05k89ew48","country_code":"JO","type":"education","lineage":["https://openalex.org/I114972647"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"D.I. Abu-Al-Nadi","raw_affiliation_strings":["Department of Electrical Engineering , University of Jordan , Amman , 11942 , Jordan E-mail: dnadi@ju.edu.jo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering , University of Jordan , Amman , 11942 , Jordan E-mail: dnadi@ju.edu.jo","institution_ids":["https://openalex.org/I114972647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021198841","display_name":"Jamal S. Rahhal","orcid":"https://orcid.org/0000-0003-4283-361X"},"institutions":[{"id":"https://openalex.org/I114972647","display_name":"University of Jordan","ror":"https://ror.org/05k89ew48","country_code":"JO","type":"education","lineage":["https://openalex.org/I114972647"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"J.S. Rahhal","raw_affiliation_strings":["Department of Electrical Engineering , University of Jordan , Amman , 11942 , Jordan E-mail: dnadi@ju.edu.jo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering , University of Jordan , Amman , 11942 , Jordan E-mail: dnadi@ju.edu.jo","institution_ids":["https://openalex.org/I114972647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114972647"],"apc_list":null,"apc_paid":null,"fwci":0.6711,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82810713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"4","first_page":"445","last_page":"460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9980000257492065,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9980000257492065,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9825000166893005,"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":0.9609000086784363,"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":0.9071946740150452},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6281557083129883},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.48423242568969727},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47905218601226807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44552624225616455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40629342198371887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3629165291786194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9071946740150452},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6281557083129883},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48423242568969727},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47905218601226807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44552624225616455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40629342198371887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3629165291786194},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2008.10643005","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2008.10643005","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W629517950","https://openalex.org/W1553483187","https://openalex.org/W2021392666","https://openalex.org/W2089276259","https://openalex.org/W2091821619","https://openalex.org/W2104324382","https://openalex.org/W2109103956","https://openalex.org/W2116957451","https://openalex.org/W2142183404","https://openalex.org/W2142574221","https://openalex.org/W2144397661","https://openalex.org/W2148944734","https://openalex.org/W2156950153","https://openalex.org/W2167638481","https://openalex.org/W4301173492"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W230091440","https://openalex.org/W2073681303","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2317200988","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283"],"abstract_inverted_index":{"Abstract":[0],"Adaptive":[1,116],"Fuzzy":[2,100,117],"Logic":[3,101,118],"Systems":[4],"trained":[5],"by":[6],"genetic":[7,61],"evolution":[8],"of":[9,24,53,72,75,84,87,127],"their":[10],"pazameters":[11,74,89],"are":[12],"presented":[13],"in":[14,41,59],"this":[15],"work.":[16],"This":[17],"technique":[18,65,109],"is":[19],"based":[20],"on":[21],"the":[22,28,32,46,50,60,69,73,76,82,85,88,95,99,107,115,128],"aggregation":[23],"pazameter":[25,55],"perturbations.":[26],"Neither":[27],"evaluation":[29],"function":[30],"nor":[31],"membership":[33],"functions,":[34],"have":[35],"to":[36,93],"be":[37,57],"differentiable":[38],"as":[39],"required":[40],"most":[42],"optimization":[43],"techniques.":[44],"In":[45],"classical":[47,129],"Genetic":[48],"Algorithms,":[49],"solution":[51,70,113],"space":[52,71],"each":[54],"should":[56],"specified":[58],"search.":[62],"The":[63],"proposed":[64,108],"does":[66],"not":[67],"specify":[68],"fuzzy":[77],"logic":[78],"system.":[79],"It":[80],"specifies":[81],"ranges":[83],"perturbations":[86],"which":[90],"will":[91],"aggregate":[92],"fmd":[94],"optimum":[96],"parameters":[97,119],"for":[98,114],"System.":[102],"Computer":[103],"simulation":[104],"showed":[105],"that":[106,126],"reached":[110],"an":[111],"optimal":[112],"with":[120],"a":[121],"higher":[122],"convergence":[123],"rate":[124],"than":[125],"GA.":[130]},"counts_by_year":[],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}