{"id":"https://openalex.org/W2975854524","doi":"https://doi.org/10.3390/info10100294","title":"Hybrid Optimization Algorithm for Bayesian Network Structure Learning","display_name":"Hybrid Optimization Algorithm for Bayesian Network Structure Learning","publication_year":2019,"publication_date":"2019-09-24","ids":{"openalex":"https://openalex.org/W2975854524","doi":"https://doi.org/10.3390/info10100294","mag":"2975854524"},"language":"en","primary_location":{"id":"doi:10.3390/info10100294","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10100294","pdf_url":"https://www.mdpi.com/2078-2489/10/10/294/pdf?version=1569316915","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/10/10/294/pdf?version=1569316915","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054298041","display_name":"Xingping Sun","orcid":"https://orcid.org/0000-0002-1254-7965"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingping Sun","raw_affiliation_strings":["Software School, Yunnan University, Kunming 650091, China"],"affiliations":[{"raw_affiliation_string":"Software School, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449502","display_name":"Chang Chen","orcid":"https://orcid.org/0000-0003-4165-3545"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Chen","raw_affiliation_strings":["Software School, Yunnan University, Kunming 650091, China"],"affiliations":[{"raw_affiliation_string":"Software School, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364487","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0002-8296-2582"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["Software School, Yunnan University, Kunming 650091, China"],"affiliations":[{"raw_affiliation_string":"Software School, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055244952","display_name":"Hongwei Kang","orcid":"https://orcid.org/0000-0002-5466-7092"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Kang","raw_affiliation_strings":["Software School, Yunnan University, Kunming 650091, China"],"affiliations":[{"raw_affiliation_string":"Software School, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046524792","display_name":"Yong Shen","orcid":"https://orcid.org/0000-0002-2430-8486"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Shen","raw_affiliation_strings":["Software School, Yunnan University, Kunming 650091, China"],"affiliations":[{"raw_affiliation_string":"Software School, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089242361","display_name":"Qingyi Chen","orcid":"https://orcid.org/0000-0001-8472-4636"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyi Chen","raw_affiliation_strings":["Software School, Yunnan University, Kunming 650091, China"],"affiliations":[{"raw_affiliation_string":"Software School, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046524792","https://openalex.org/A5055244952"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.0115,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83019291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"10","first_page":"294","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","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/T11303","display_name":"Bayesian Modeling and Causal Inference","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/T12805","display_name":"Cognitive Science and Mapping","score":0.9275000095367432,"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":0.9251000285148621,"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/bayesian-network","display_name":"Bayesian network","score":0.747148871421814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7135544419288635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6924529075622559},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.616877019405365},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.6052602529525757},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.5716561675071716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38795727491378784},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.37695300579071045},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3057030141353607}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.747148871421814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7135544419288635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6924529075622559},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.616877019405365},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.6052602529525757},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.5716561675071716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38795727491378784},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.37695300579071045},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3057030141353607},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info10100294","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10100294","pdf_url":"https://www.mdpi.com/2078-2489/10/10/294/pdf?version=1569316915","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:566c88d5b1c543a883954af839b0cb56","is_oa":true,"landing_page_url":"https://doaj.org/article/566c88d5b1c543a883954af839b0cb56","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 10, Iss 10, p 294 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/10/10/294/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/info10100294","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info10100294","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10100294","pdf_url":"https://www.mdpi.com/2078-2489/10/10/294/pdf?version=1569316915","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1992308704","display_name":null,"funder_award_id":"1876166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3232340730","display_name":null,"funder_award_id":"61876166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6135574011","display_name":null,"funder_award_id":"61663046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2975854524.pdf","grobid_xml":"https://content.openalex.org/works/W2975854524.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W72965205","https://openalex.org/W1505477995","https://openalex.org/W1517993545","https://openalex.org/W1587150650","https://openalex.org/W1593793857","https://openalex.org/W1595159159","https://openalex.org/W1817561967","https://openalex.org/W1966518282","https://openalex.org/W2022306346","https://openalex.org/W2022665301","https://openalex.org/W2076753758","https://openalex.org/W2134266056","https://openalex.org/W2142390772","https://openalex.org/W2142635246","https://openalex.org/W2147472054","https://openalex.org/W2159080219","https://openalex.org/W2161632986","https://openalex.org/W2277112320","https://openalex.org/W2397801352","https://openalex.org/W2607059635","https://openalex.org/W3162914541","https://openalex.org/W6669791552","https://openalex.org/W6683608245"],"related_works":["https://openalex.org/W2378770236","https://openalex.org/W1975712947","https://openalex.org/W1545058848","https://openalex.org/W2169561303","https://openalex.org/W2570816834","https://openalex.org/W4312824421","https://openalex.org/W2360426857","https://openalex.org/W2504590243","https://openalex.org/W2361825667","https://openalex.org/W2376186798"],"abstract_inverted_index":{"Since":[0],"the":[1,4,22,38,43,55,64,71,81,88,105,115,131,164,177],"beginning":[2],"of":[3,21,42,47,58,80,84,96,107,117,123,136],"21st":[5],"century,":[6],"research":[7],"on":[8,130],"artificial":[9,28,148],"intelligence":[10,29],"has":[11,104,126,184],"made":[12],"great":[13,128],"progress.":[14],"Bayesian":[15,34,48,51,97,137,165],"networks":[16],"have":[17],"gradually":[18,68],"become":[19],"one":[20],"hotspots":[23],"and":[24,40,45,133,154,187],"important":[25],"achievements":[26],"in":[27],"research.":[30],"Establishing":[31],"an":[32],"effective":[33],"network":[35,52,65,86,98,166],"structure":[36,53,66,74,116,157,167,181,186],"is":[37,67,91,152,170],"foundation":[39],"core":[41],"learning":[44,73,99,118,168,182],"application":[46,135],"networks.":[49,138],"In":[50,139],"learning,":[54],"traditional":[56],"method":[57,95,169],"utilizing":[59],"expert":[60],"knowledge":[61],"to":[62,141,156],"construct":[63],"replaced":[69],"by":[70],"data":[72,102],"method.":[75],"However,":[76],"as":[77],"a":[78,127,145],"result":[79],"large":[82],"amount":[83],"possible":[85],"structures,":[87],"search":[89],"space":[90],"too":[92],"large.":[93],"The":[94],"through":[100],"training":[101],"usually":[103],"problems":[106],"low":[108],"precision":[109],"or":[110],"high":[111],"complexity,":[112],"which":[113,125],"make":[114],"differ":[119],"greatly":[120],"from":[121],"that":[122,176],"reality,":[124],"influence":[129],"reasoning":[132],"practical":[134],"order":[140],"solve":[142],"this":[143],"problem,":[144],"hybrid":[146,160,179],"optimization":[147,161,180],"bee":[149],"colony":[150],"algorithm":[151,183],"discretized":[153],"applied":[155],"learning.":[158],"A":[159],"technique":[162],"for":[163],"proposed.":[171],"Experimental":[172],"simulation":[173],"results":[174],"show":[175],"proposed":[178],"better":[185,188],"convergence.":[189]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}