{"id":"https://openalex.org/W2009542803","doi":"https://doi.org/10.1109/icsai.2014.7009414","title":"A hybrid genetic algorithm for Bayesian network optimization","display_name":"A hybrid genetic algorithm for Bayesian network optimization","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2009542803","doi":"https://doi.org/10.1109/icsai.2014.7009414","mag":"2009542803"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2014.7009414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2014.7009414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)","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/A5103242301","display_name":"Jiaqi Zhao","orcid":"https://orcid.org/0000-0002-5886-8924"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Zhao","raw_affiliation_strings":["Shaanxi Key Lab of Computer Network, Xi'an Jiaotong University, Xi'an, China","Shaanxi Key Lab of Computer Network, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Lab of Computer Network, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Lab of Computer Network, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038264616","display_name":"Hongzhe Xu","orcid":"https://orcid.org/0000-0002-7924-2840"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhe Xu","raw_affiliation_strings":["Shaanxi Key Lab of Computer Network, Xi'an Jiaotong University, Xi'an, China","Shaanxi Key Lab of Computer Network, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Lab of Computer Network, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Lab of Computer Network, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100704475","display_name":"Wen Li","orcid":"https://orcid.org/0009-0000-5220-269X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Li","raw_affiliation_strings":["Shaanxi Key Lab of Computer Network, Xi'an Jiaotong University, Xi'an, China","Shaanxi Key Lab of Computer Network, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Lab of Computer Network, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Lab of Computer Network, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.2068,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.45030716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"906","last_page":"910"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9995999932289124,"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":0.9995999932289124,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9735999703407288,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/hill-climbing","display_name":"Hill climbing","score":0.8080112934112549},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7731391191482544},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.7493628263473511},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6994210481643677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.694250226020813},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6152804493904114},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4974041283130646},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4836353063583374},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.47824397683143616},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4671779274940491},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.4442591369152069},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4412389397621155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4064917266368866},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3672906756401062},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31427496671676636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16304215788841248}],"concepts":[{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.8080112934112549},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7731391191482544},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7493628263473511},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6994210481643677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.694250226020813},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6152804493904114},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4974041283130646},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4836353063583374},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.47824397683143616},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4671779274940491},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.4442591369152069},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4412389397621155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4064917266368866},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3672906756401062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31427496671676636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16304215788841248},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2014.7009414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2014.7009414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)","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":9,"referenced_works":["https://openalex.org/W1990771923","https://openalex.org/W1993612309","https://openalex.org/W2008813113","https://openalex.org/W2008906462","https://openalex.org/W2076998221","https://openalex.org/W2147103702","https://openalex.org/W2148493499","https://openalex.org/W2151734318","https://openalex.org/W4236354166"],"related_works":["https://openalex.org/W1232705","https://openalex.org/W2460653416","https://openalex.org/W2053571861","https://openalex.org/W2022341304","https://openalex.org/W4211249017","https://openalex.org/W2138041878","https://openalex.org/W2210692376","https://openalex.org/W2063872785","https://openalex.org/W2294210715","https://openalex.org/W2369110639"],"abstract_inverted_index":{"To":[0],"find":[1],"an":[2,23],"optimized":[3],"structure":[4],"in":[5],"a":[6,10,16,19,39],"Bayesian":[7,34,45],"network":[8,17,35,46],"is":[9,22,50],"NP":[11],"problem.":[12],"How":[13],"to":[14,59,71,83],"get":[15],"with":[18],"high":[20],"score":[21],"important":[24],"question.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29,79],"discuss":[30],"some":[31],"theories":[32],"about":[33],"study":[36],"and":[37,63,69],"propose":[38],"hybrid":[40],"genetic":[41,53],"algorithm":[42,49,82],"HGA-BN":[43],"for":[44],"optimization.":[47],"The":[48],"based":[51],"on":[52],"algorithm,":[54],"uses":[55,64],"simulated":[56],"annealing":[57],"technology":[58],"select":[60],"its":[61],"children,":[62],"self-adaptive":[65],"probabilities":[66],"of":[67,92],"crossover":[68],"mutation":[70],"do":[72],"local":[73,93],"search.":[74,94],"When":[75],"the":[76,85,90],"computation":[77],"converges,":[78],"use":[80],"hill-climbing":[81],"optimize":[84],"result,":[86],"which":[87],"can":[88],"enhance":[89],"ability":[91]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}