{"id":"https://openalex.org/W4327767977","doi":"https://doi.org/10.1109/ccnc51644.2023.10060860","title":"Optimized CNN Auto-Generator Using GA With Stopping Criterion: Design and a Use Case","display_name":"Optimized CNN Auto-Generator Using GA With Stopping Criterion: Design and a Use Case","publication_year":2023,"publication_date":"2023-01-08","ids":{"openalex":"https://openalex.org/W4327767977","doi":"https://doi.org/10.1109/ccnc51644.2023.10060860"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc51644.2023.10060860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccnc51644.2023.10060860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","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/A5067403531","display_name":"Charles Montes","orcid":null},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Charles Montes","raw_affiliation_strings":["University of Massachusetts,Department of Electrical and Computer Engineering,Dartmouth,MA,USA","Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, MA, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Department of Electrical and Computer Engineering,Dartmouth,MA,USA","institution_ids":["https://openalex.org/I100633361"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085174104","display_name":"Todd Morehouse","orcid":null},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Todd Morehouse","raw_affiliation_strings":["University of Massachusetts,Department of Electrical and Computer Engineering,Dartmouth,MA,USA","Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, MA, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Department of Electrical and Computer Engineering,Dartmouth,MA,USA","institution_ids":["https://openalex.org/I100633361"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005323432","display_name":"Dayalan Kasilingam","orcid":"https://orcid.org/0000-0001-9293-7797"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dayalan Kasilingam","raw_affiliation_strings":["University of Massachusetts,Department of Electrical and Computer Engineering,Dartmouth,MA,USA","Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, MA, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Department of Electrical and Computer Engineering,Dartmouth,MA,USA","institution_ids":["https://openalex.org/I100633361"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101479501","display_name":"Ruolin Zhou","orcid":"https://orcid.org/0000-0001-8630-3157"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruolin Zhou","raw_affiliation_strings":["University of Massachusetts,Department of Electrical and Computer Engineering,Dartmouth,MA,USA","Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, MA, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Department of Electrical and Computer Engineering,Dartmouth,MA,USA","institution_ids":["https://openalex.org/I100633361"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067403531"],"corresponding_institution_ids":["https://openalex.org/I100633361"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62464577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9606999754905701,"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/hyperparameter","display_name":"Hyperparameter","score":0.8831368684768677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.804227888584137},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.662781298160553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5678504705429077},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5515258312225342},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5300542712211609},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5148905515670776},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.47690701484680176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4637952446937561},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44812554121017456},{"id":"https://openalex.org/keywords/early-stopping","display_name":"Early stopping","score":0.44787177443504333},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18031421303749084}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8831368684768677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.804227888584137},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.662781298160553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5678504705429077},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5515258312225342},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5300542712211609},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5148905515670776},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.47690701484680176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4637952446937561},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44812554121017456},{"id":"https://openalex.org/C5465570","wikidata":"https://www.wikidata.org/wiki/Q5326898","display_name":"Early stopping","level":3,"score":0.44787177443504333},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18031421303749084},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc51644.2023.10060860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccnc51644.2023.10060860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2055444343","https://openalex.org/W2182361439","https://openalex.org/W2272847350","https://openalex.org/W2588709956","https://openalex.org/W2618530766","https://openalex.org/W2773170971","https://openalex.org/W2892154397","https://openalex.org/W2952643393","https://openalex.org/W2954743925","https://openalex.org/W2971411179","https://openalex.org/W2975399691","https://openalex.org/W2995494226","https://openalex.org/W3083187682","https://openalex.org/W3083189931","https://openalex.org/W3095732821","https://openalex.org/W4206577094","https://openalex.org/W4255158661","https://openalex.org/W6685961532","https://openalex.org/W6734593296","https://openalex.org/W6753496161","https://openalex.org/W6755886476","https://openalex.org/W6780421573","https://openalex.org/W6783134266","https://openalex.org/W6786703814","https://openalex.org/W6791444003"],"related_works":["https://openalex.org/W2953665647","https://openalex.org/W4205712847","https://openalex.org/W4281646320","https://openalex.org/W3169687406","https://openalex.org/W2954882791","https://openalex.org/W4388119537","https://openalex.org/W4287818966","https://openalex.org/W1974336862","https://openalex.org/W3014750173","https://openalex.org/W3192751261"],"abstract_inverted_index":{"The":[0],"goal":[1,164],"of":[2,20,44,52,75,92,125,188,196,247],"this":[3],"paper":[4],"is":[5,41,128,154,165],"to":[6,15,32,111,135,140,158,227],"use":[7],"the":[8,17,42,90,100,108,142,148,168,221,228,250,265,272],"genetic":[9,109,169],"algorithm":[10,110,170],"with":[11,171],"adapted":[12,172],"stopping":[13,138,152,173],"criterion":[14,139,153],"reduce":[16],"computational":[18,149],"cost":[19],"optimizing":[21,84],"hyperparameters":[22,73,85,102,126],"and":[23,31,56,94,190,236],"network":[24,54,57,144,187,257,263],"architecture":[25],"in":[26,271],"convolutional":[27],"neural":[28,46,64,143],"networks":[29,65,199],"(CNNs)":[30],"apply":[33],"it":[34],"on":[35,214,249],"baseband":[36],"modulation":[37,216],"classification.":[38],"Hyperparameter":[39],"optimization":[40],"maximization":[43],"a":[45,50,119,123,137,155,162,175,186,194,268],"network's":[47],"performance":[48],"using":[49,122,267],"set":[51,124],"input":[53],"parameters":[55,192],"architecture.":[58],"With":[59],"much":[60],"research":[61,69],"going":[62],"into":[63,83],"(e.g.,":[66],"CNNs),":[67],"most":[68],"uses":[70],"manually":[71],"chosen":[72],"instead":[74],"choosing":[76],"optimal":[77,101],"hyperparameters.":[78],"Much":[79],"work":[80],"has":[81,132,179,211],"gone":[82],"as":[86],"they":[87],"greatly":[88],"effect":[89],"accuracy":[91,145,235,248],"CNNs":[93],"enable":[95],"automated":[96],"machine":[97],"learning.":[98],"Choosing":[99],"can":[103,183,232],"be":[104],"done":[105],"by":[106],"applying":[107,136],"search":[112,116],"for":[113,264],"them.":[114],"Each":[115],"operation":[117],"requires":[118],"full":[120],"training":[121,156],"which":[127,182],"computationally":[129],"expensive.":[130],"Research":[131],"shown":[133],"advantages":[134],"improve":[141],"while":[146,253],"reducing":[147],"cost.":[150],"A":[151],"constraint":[157],"stop":[159],"learning":[160],"after":[161],"certain":[163],"achieved.":[166],"Using":[167],"criterion,":[174],"fast":[176],"CNN":[177,209,245,273],"auto-generator":[178,210],"been":[180,204,212],"designed,":[181],"simultaneously":[184],"generate":[185],"layers":[189],"their":[191],"from":[193,255],"pool":[195],"many":[197],"potential":[198],"that":[200],"might":[201],"not":[202],"have":[203],"considered.":[205],"Such":[206],"an":[207,260],"optimized":[208],"applied":[213],"automatic":[215],"classification":[217],"(AMC)":[218],"through":[219],"exploring":[220],"dataset":[222,252,266],"DeepSig":[223],"RADIOML":[224,251],"2016.10A.":[225],"Compared":[226],"literature,":[229],"our":[230],"design":[231],"achieve":[233],"greater":[234],"lower":[237],"run":[238],"time.":[239],"It":[240],"also":[241],"provides":[242],"human":[243],"designed":[244],"levels":[246],"starting":[254],"no":[256],"but":[258],"generating":[259],"entirely":[261],"custom":[262],"small":[269],"subset":[270],"generation":[274],"process.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}