{"id":"https://openalex.org/W2967117338","doi":"https://doi.org/10.1109/cec.2019.8790297","title":"In-depth Evaluation and Experimental Analysis of a Weight Pruning Genetic Algorithm","display_name":"In-depth Evaluation and Experimental Analysis of a Weight Pruning Genetic Algorithm","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2967117338","doi":"https://doi.org/10.1109/cec.2019.8790297","mag":"2967117338"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8790297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050287900","display_name":"Sa\u0161a Janji\u0107","orcid":"https://orcid.org/0000-0003-3962-6433"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sasa Janjic","raw_affiliation_strings":["Department of Computer Science, University of Manitoba, Winnipeg, Manitoba"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Manitoba, Winnipeg, Manitoba","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028631410","display_name":"Parimala Thulasiraman","orcid":"https://orcid.org/0000-0002-6445-3629"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Parimala Thulasiraman","raw_affiliation_strings":["Department of Computer Science, University of Manitoba, Winnipeg, Manitoba"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Manitoba, Winnipeg, Manitoba","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072076034","display_name":"Neil D. B. Bruce","orcid":"https://orcid.org/0000-0002-5710-1107"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Neil Bruce","raw_affiliation_strings":["Department of Computer Science, Ryerson University, Toronto, Ontario"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ryerson University, Toronto, Ontario","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1093,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38831754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1814","last_page":"1821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9962999820709229,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/pruning","display_name":"Pruning","score":0.8377472162246704},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7661793231964111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6389573812484741},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6146140098571777},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5141854286193848},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5069975852966309},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.499983549118042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4987201690673828},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4980039596557617},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4900397062301636},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46615657210350037},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4388638734817505},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.357754647731781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33464765548706055}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8377472162246704},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7661793231964111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6389573812484741},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6146140098571777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5141854286193848},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5069975852966309},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.499983549118042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4987201690673828},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4980039596557617},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4900397062301636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46615657210350037},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4388638734817505},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.357754647731781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33464765548706055},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2019.8790297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","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":24,"referenced_works":["https://openalex.org/W19335976","https://openalex.org/W1199234532","https://openalex.org/W1492427571","https://openalex.org/W1971259134","https://openalex.org/W2078651972","https://openalex.org/W2097571405","https://openalex.org/W2111935653","https://openalex.org/W2112796928","https://openalex.org/W2114766824","https://openalex.org/W2125389748","https://openalex.org/W2141155619","https://openalex.org/W2145085734","https://openalex.org/W2149933564","https://openalex.org/W2163605009","https://openalex.org/W2398338688","https://openalex.org/W2553910756","https://openalex.org/W2896811383","https://openalex.org/W2919115771","https://openalex.org/W2963674932","https://openalex.org/W6677103964","https://openalex.org/W6678583879","https://openalex.org/W6684191040","https://openalex.org/W6729763630","https://openalex.org/W7051515725"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W3088108839","https://openalex.org/W4300560302","https://openalex.org/W992687842","https://openalex.org/W1908107260","https://openalex.org/W1952005211","https://openalex.org/W2987302549"],"abstract_inverted_index":{"The":[0,44],"topic":[1],"of":[2,20,33,51,67,82],"optimizing":[3],"neural":[4],"networks":[5,58],"parameters":[6],"has":[7],"garnered":[8],"considerable":[9],"attention":[10],"over":[11],"the":[12,17,80],"years,":[13],"more":[14],"so":[15],"with":[16,40],"continued":[18],"succession":[19],"ever":[21],"larger,":[22],"denser":[23],"networks.":[24],"In":[25],"this":[26],"work,":[27],"we":[28],"present":[29],"evaluation":[30],"and":[31,56,65,72],"analysis":[32],"our":[34],"proposed":[35],"Weight":[36],"Pruning":[37],"Genetic":[38],"Algorithm,":[39],"pruning":[41,50],"specific":[42],"mutators.":[43],"results":[45],"show":[46],"that":[47],"evolved":[48],"weight":[49],"MNIST":[52],"trained":[53],"multilayer":[54],"perceptrons":[55],"convolutional":[57],"can":[59],"remove":[60],"as":[61,63],"much":[62],"72.4%":[64],"89.6%":[66],"fully":[68],"connected":[69],"layer":[70],"parameters,":[71],"yield":[73],"improvements":[74],"in":[75],"test":[76],"set":[77],"accuracy":[78],"without":[79],"use":[81],"retraining.":[83]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}