{"id":"https://openalex.org/W4378677012","doi":"https://doi.org/10.1145/3590003.3590021","title":"Estimation of Distribution Algorithm with Discrete Hopfield Neural Network for GRAN3SAT Analysis","display_name":"Estimation of Distribution Algorithm with Discrete Hopfield Neural Network for GRAN3SAT Analysis","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4378677012","doi":"https://doi.org/10.1145/3590003.3590021"},"language":"en","primary_location":{"id":"doi:10.1145/3590003.3590021","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3590003.3590021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","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/A5003264177","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0001-8246-9192"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]},{"id":"https://openalex.org/I53411278","display_name":"Chengdu University of Traditional Chinese Medicine","ror":"https://ror.org/00pcrz470","country_code":"CN","type":"education","lineage":["https://openalex.org/I53411278"]}],"countries":["CN","MY"],"is_corresponding":true,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, China and \rSchool of Mathematical Sciences, Universiti Sains Malaysia, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-8246-9192","affiliations":[{"raw_affiliation_string":"School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, China and \rSchool of Mathematical Sciences, Universiti Sains Malaysia, Malaysia","institution_ids":["https://openalex.org/I53411278","https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017462860","display_name":"Chengfeng Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Chengfeng Zheng","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-1450-0212","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063640774","display_name":"Ju Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]},{"id":"https://openalex.org/I53411278","display_name":"Chengdu University of Traditional Chinese Medicine","ror":"https://ror.org/00pcrz470","country_code":"CN","type":"education","lineage":["https://openalex.org/I53411278"]}],"countries":["CN","MY"],"is_corresponding":false,"raw_author_name":"Ju Chen","raw_affiliation_strings":["School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, China and \rSchool of Mathematical Sciences, Universiti Sains Malaysia, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-5243-2644","affiliations":[{"raw_affiliation_string":"School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, China and \rSchool of Mathematical Sciences, Universiti Sains Malaysia, Malaysia","institution_ids":["https://openalex.org/I53411278","https://openalex.org/I139322472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020081584","display_name":"Yueling Guo","orcid":"https://orcid.org/0000-0001-7213-9018"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yueling Guo","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-7213-9018","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003264177"],"corresponding_institution_ids":["https://openalex.org/I139322472","https://openalex.org/I53411278"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53558867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"96","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":0.9998999834060669,"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":0.9998999834060669,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9908000230789185,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.6710810661315918},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6206207275390625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5985550880432129},{"id":"https://openalex.org/keywords/hopfield-network","display_name":"Hopfield network","score":0.5309711694717407},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5185549855232239},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5176889896392822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4732014834880829},{"id":"https://openalex.org/keywords/satisfiability","display_name":"Satisfiability","score":0.46174150705337524},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4313787817955017},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38963204622268677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32603919506073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27838054299354553}],"concepts":[{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.6710810661315918},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6206207275390625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985550880432129},{"id":"https://openalex.org/C46421273","wikidata":"https://www.wikidata.org/wiki/Q1407668","display_name":"Hopfield network","level":3,"score":0.5309711694717407},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5185549855232239},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5176889896392822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4732014834880829},{"id":"https://openalex.org/C168773769","wikidata":"https://www.wikidata.org/wiki/Q1350299","display_name":"Satisfiability","level":2,"score":0.46174150705337524},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4313787817955017},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38963204622268677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32603919506073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27838054299354553},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3590003.3590021","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3590003.3590021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","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":13,"referenced_works":["https://openalex.org/W1554576613","https://openalex.org/W1692958259","https://openalex.org/W2023367191","https://openalex.org/W2084068786","https://openalex.org/W2128084896","https://openalex.org/W2139015486","https://openalex.org/W2155150992","https://openalex.org/W2526192792","https://openalex.org/W2885191881","https://openalex.org/W3140473065","https://openalex.org/W4281837565","https://openalex.org/W4283385861","https://openalex.org/W4285600365"],"related_works":["https://openalex.org/W2392913753","https://openalex.org/W2096498780","https://openalex.org/W4300447733","https://openalex.org/W1982259447","https://openalex.org/W2218979613","https://openalex.org/W2117614743","https://openalex.org/W2496664933","https://openalex.org/W2951527796","https://openalex.org/W3092016156","https://openalex.org/W1935138604"],"abstract_inverted_index":{"The":[0],"Discrete":[1],"Hopfield":[2],"Neural":[3],"Network":[4],"introduces":[5],"a":[6,67,139],"G-Type":[7],"Random":[8],"3":[9],"Satisfiability":[10],"logic":[11,20],"structure,":[12],"which":[13,147],"can":[14,130],"improve":[15,48,81,172],"the":[16,19,24,37,43,49,52,60,71,75,88,93,102,105,114,119,123,127,144,149,157,173],"flexibility":[17],"of":[18,26,45,51,62,78,90,98,104,116,151,159,167],"structure":[21],"and":[22,100,122,156],"meet":[23],"requirements":[25],"all":[27],"combinatorial":[28],"problems.":[29],"Usually,":[30],"Exhaustive":[31],"Search":[32],"(ES)":[33],"is":[34,163],"regarded":[35],"as":[36,66],"basic":[38],"learning":[39,53,68,76],"algorithm":[40,69],"to":[41,80,171],"search":[42,82,141],"fitness":[44],"neurons.":[46],"To":[47,73],"efficiency":[50],"algorithm.":[54],"In":[55],"this":[56,84],"paper,":[57],"we":[58],"introduce":[59],"Estimation":[61],"Distribution":[63],"Algorithm":[64],"(EDA)":[65],"for":[70],"model.":[72],"study":[74,85],"mechanism":[77],"EDA":[79,91,117,137],"efficiency,":[83,146],"focuses":[86],"on":[87,92,118],"impact":[89],"model":[94,106,174],"under":[95],"different":[96,108],"proportions":[97,166],"literals":[99,169],"evaluates":[101],"performance":[103],"at":[107,143],"phases":[109],"through":[110],"evaluation":[111],"indicators.":[112],"Analyze":[113],"effect":[115],"synaptic":[120],"weights":[121,154],"global":[124,160],"solution.":[125],"From":[126],"discussion,":[128],"it":[129],"be":[131],"found":[132],"that":[133],"compared":[134],"with":[135],"ES,":[136],"has":[138],"larger":[140],"space":[142],"same":[145],"makes":[148],"probability":[150],"obtaining":[152],"satisfactory":[153],"higher,":[155],"proportion":[158],"solutions":[161],"obtained":[162],"higher.":[164],"Higher":[165],"positive":[168],"help":[170],"performance.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
