{"id":"https://openalex.org/W4379797635","doi":"https://doi.org/10.22399/ijcesen.1282146","title":"PTGNG: An Evolutionary Approach for Parameter Optimization in the Growing Neural Gas Algorithm","display_name":"PTGNG: An Evolutionary Approach for Parameter Optimization in the Growing Neural Gas Algorithm","publication_year":2023,"publication_date":"2023-06-07","ids":{"openalex":"https://openalex.org/W4379797635","doi":"https://doi.org/10.22399/ijcesen.1282146"},"language":"en","primary_location":{"id":"doi:10.22399/ijcesen.1282146","doi":"https://doi.org/10.22399/ijcesen.1282146","is_oa":true,"landing_page_url":"https://doi.org/10.22399/ijcesen.1282146","pdf_url":"https://dergipark.org.tr/en/download/article-file/3079820","source":{"id":"https://openalex.org/S4210187448","display_name":"International Journal of Computational and Experimental Science and Engineering","issn_l":"2149-9144","issn":["2149-9144"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310318383","host_organization_name":"Turkish Online Journal of Qualitative Inquiry (TOJQI)","host_organization_lineage":["https://openalex.org/P4310318383"],"host_organization_lineage_names":["Turkish Online Journal of Qualitative Inquiry (TOJQI)"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational and Experimental Science and Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://dergipark.org.tr/en/download/article-file/3079820","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092113084","display_name":"Mohanad Dhari Jassam ALALKAWI","orcid":"https://orcid.org/0000-0002-1181-3053","observed_orcids":["https://orcid.org/0000-0002-1181-3053"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohanad Dhari Jassam ALALKAWI","raw_affiliation_strings":["Directorate General of Education in Diyala Govgovernorate"],"raw_orcid":"https://orcid.org/0000-0002-1181-3053","affiliations":[{"raw_affiliation_string":"Directorate General of Education in Diyala Govgovernorate","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086703296","display_name":"Shadi Al Shehabi","orcid":"https://orcid.org/0000-0003-0545-9104","observed_orcids":["https://orcid.org/0000-0003-0545-9104"]},"institutions":[{"id":"https://openalex.org/I4210145505","display_name":"University of Turkish Aeronautical Association","ror":"https://ror.org/055p14r26","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210145505"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Shadi AL SHEHABI","raw_affiliation_strings":["UNIVERSITY OF TURKISH AERONAUTICAL ASSOCIATION"],"raw_orcid":"https://orcid.org/0000-0003-0545-9104","affiliations":[{"raw_affiliation_string":"UNIVERSITY OF TURKISH AERONAUTICAL ASSOCIATION","institution_ids":["https://openalex.org/I4210145505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060208195","display_name":"Meltem Y\u0131ld\u0131r\u0131m Imamo\u011flu","orcid":"https://orcid.org/0000-0002-8574-4097","observed_orcids":["https://orcid.org/0000-0002-8574-4097"]},"institutions":[{"id":"https://openalex.org/I4210145505","display_name":"University of Turkish Aeronautical Association","ror":"https://ror.org/055p14r26","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210145505"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Meltem YILDIRIM IMAMOGLU","raw_affiliation_strings":["UNIVERSITY OF TURKISH AERONAUTICAL ASSOCIATION"],"raw_orcid":"https://orcid.org/0000-0002-8574-4097","affiliations":[{"raw_affiliation_string":"UNIVERSITY OF TURKISH AERONAUTICAL ASSOCIATION","institution_ids":["https://openalex.org/I4210145505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4157,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.57373332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":"2","first_page":"91","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9887999892234802,"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/T10320","display_name":"Neural Networks and Applications","score":0.9887999892234802,"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":0.005799999926239252,"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":0.0035000001080334187,"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/growing-neural-gas","display_name":"growing neural gas","score":0.9769999980926514},{"id":"https://openalex.org/keywords/parameter-optimization","display_name":"parameter optimization","score":0.8190000057220459},{"id":"https://openalex.org/keywords/evolutionary-algorithms","display_name":"evolutionary algorithms","score":0.8240000009536743},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"competitive learning","score":0.8050000071525574},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.9599999785423279},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.8949999809265137}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6226959228515625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6175034046173096},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6087121963500977},{"id":"https://openalex.org/C90322556","wikidata":"https://www.wikidata.org/wiki/Q1981169","display_name":"Neural gas","level":4,"score":0.5746283531188965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5703168511390686},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5624130964279175},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.508480429649353},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5051255822181702},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.4935961961746216},{"id":"https://openalex.org/C41445625","wikidata":"https://www.wikidata.org/wiki/Q5418685","display_name":"Evolutionary acquisition of neural topologies","level":4,"score":0.48252198100090027},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.45018163323402405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43387559056282043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33296799659729004},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.20164752006530762},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1399732232093811},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.22399/ijcesen.1282146","doi":"https://doi.org/10.22399/ijcesen.1282146","is_oa":true,"landing_page_url":"https://doi.org/10.22399/ijcesen.1282146","pdf_url":"https://dergipark.org.tr/en/download/article-file/3079820","source":{"id":"https://openalex.org/S4210187448","display_name":"International Journal of Computational and Experimental Science and Engineering","issn_l":"2149-9144","issn":["2149-9144"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310318383","host_organization_name":"Turkish Online Journal of Qualitative Inquiry (TOJQI)","host_organization_lineage":["https://openalex.org/P4310318383"],"host_organization_lineage_names":["Turkish Online Journal of Qualitative Inquiry (TOJQI)"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational and Experimental Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:dergipark.org.tr:article/1282146","doi":null,"is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/ijcesen/issue/77839/1282146","pdf_url":"https://dergipark.org.tr/tr/download/article-file/3079820","source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computational and Experimental Science and Engineering","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.22399/ijcesen.1282146","doi":"https://doi.org/10.22399/ijcesen.1282146","is_oa":true,"landing_page_url":"https://doi.org/10.22399/ijcesen.1282146","pdf_url":"https://dergipark.org.tr/en/download/article-file/3079820","source":{"id":"https://openalex.org/S4210187448","display_name":"International Journal of Computational and Experimental Science and Engineering","issn_l":"2149-9144","issn":["2149-9144"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310318383","host_organization_name":"Turkish Online Journal of Qualitative Inquiry (TOJQI)","host_organization_lineage":["https://openalex.org/P4310318383"],"host_organization_lineage_names":["Turkish Online Journal of Qualitative Inquiry (TOJQI)"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational and Experimental Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379797635.pdf","grobid_xml":"https://content.openalex.org/works/W4379797635.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1541288193","https://openalex.org/W1574179123","https://openalex.org/W1674346578","https://openalex.org/W1963583376","https://openalex.org/W1968747946","https://openalex.org/W1972142489","https://openalex.org/W1979391617","https://openalex.org/W2006493416","https://openalex.org/W2010150441","https://openalex.org/W2021528871","https://openalex.org/W2050908788","https://openalex.org/W2104766360","https://openalex.org/W2110873103","https://openalex.org/W2126497465","https://openalex.org/W2162097627","https://openalex.org/W2164821930","https://openalex.org/W2295005189","https://openalex.org/W2789663547","https://openalex.org/W3145004415","https://openalex.org/W3145041349","https://openalex.org/W4232158517","https://openalex.org/W4246008728"],"related_works":["https://openalex.org/W1963583376","https://openalex.org/W1972142489","https://openalex.org/W7098249965","https://openalex.org/W2164821930","https://openalex.org/W4410926508","https://openalex.org/W2129265166","https://openalex.org/W4387654834","https://openalex.org/W3089913216","https://openalex.org/W134359837","https://openalex.org/W4415049290"],"abstract_inverted_index":{"Growing":[0],"Neural":[1],"Gas":[2],"(GNG)":[3],"algorithm":[4,9,87,128,167],"is":[5,44,48,100],"an":[6,119],"unsupervised":[7],"learning":[8,15,96],"which":[10,67],"belongs":[11],"to":[12,24,62,77,93,125,159],"the":[13,31,38,64,69,73,79,104,107,110,149,215],"competitive":[14,95],"family.":[16],"Since":[17],"then,":[18],"GNG":[19,86,127,163,195],"has":[20,88],"been":[21],"a":[22,172,201,208],"subject":[23],"vaious":[25],"developments":[26],"and":[27,55,76,106,117,141,178,206,225],"implementations":[28],"found":[29],"in":[30,60,82,103,134],"literatures":[32],"for":[33,130,155],"two":[34],"main":[35],"reasons:":[36],"first,":[37],"number":[39,108,203],"of":[40,72,109,152,175,188,204],"neurons":[41,54,58,205],"(i.e.,":[42],"nodes)":[43],"adaptive.":[45],"Meaning,":[46],"it":[47,99],"periodically":[49],"changed":[50],"through":[51],"adding":[52],"new":[53],"removing":[56],"old":[57],"accordingly":[59],"order":[61],"find":[63],"best":[65],"network":[66],"captures":[68],"topological":[70,198],"structure":[71,199],"given":[74,157],"data,":[75],"reduce":[78],"overall":[80],"error":[81],"that":[83,194,214],"representation.":[84],"Second,":[85],"no":[89],"restrictions":[90],"when":[91,219],"compared":[92],"other":[94],"algorithms,":[97],"as":[98],"both":[101],"free":[102],"space":[105,174],"neurons.":[111],"In":[112],"this":[113],"paper,":[114],"we":[115,184,191],"propose":[116],"implement":[118],"evolutionary":[120,166],"based":[121],"approach,":[122],"namely":[123],"PTGNG,":[124],"tune":[126],"parameters":[129,189],"dealing":[131],"with":[132,200,207,223],"data":[133],"multiple":[135],"dimensional":[136],"space,":[137],"namely,":[138],"2D,":[139],"3D,":[140],"4D.":[142],"The":[143,165],"idea":[144],"basically":[145],"relies":[146],"on":[147,221],"finding":[148],"optimum":[150],"set":[151],"parameter":[153],"values":[154],"any":[156],"problem":[158],"be":[160],"solved":[161],"using":[162],"algorithm.":[164],"by":[168],"its":[169],"nature":[170],"searches":[171],"vast":[173],"applicable":[176],"solutions":[177],"evaluates":[179],"each":[180],"solution":[181],"individually.":[182],"When":[183],"implemented":[185],"our":[186],"approach":[187],"tuning,":[190],"can":[192],"note":[193],"captured":[196],"datasets":[197,222],"smaller":[202],"better":[209],"accuracy.":[210],"It":[211],"also":[212],"showed":[213],"same":[216],"results":[217],"appeared":[218],"working":[220],"three":[224],"four":[226],"dimensions.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-06-09T00:00:00"}
