{"id":"https://openalex.org/W2540090005","doi":"https://doi.org/10.1109/incos.2016.68","title":"Bayesian Parameter Estimation of Weibull Mixtures Using Cuckoo Search","display_name":"Bayesian Parameter Estimation of Weibull Mixtures Using Cuckoo Search","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2540090005","doi":"https://doi.org/10.1109/incos.2016.68","mag":"2540090005"},"language":"en","primary_location":{"id":"doi:10.1109/incos.2016.68","is_oa":false,"landing_page_url":"https://doi.org/10.1109/incos.2016.68","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)","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/A5032182130","display_name":"Kuo Chi","orcid":"https://orcid.org/0000-0001-7209-9570"},"institutions":[{"id":"https://openalex.org/I4210122191","display_name":"Ordnance Engineering College","ror":"https://ror.org/02mn08y26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122191"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kuo Chi","raw_affiliation_strings":["Department of Equipment Command and Management, Mechanical Engineering College, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"Department of Equipment Command and Management, Mechanical Engineering College, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210122191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067199691","display_name":"Jianshe Kang","orcid":"https://orcid.org/0000-0002-7969-2040"},"institutions":[{"id":"https://openalex.org/I4210122191","display_name":"Ordnance Engineering College","ror":"https://ror.org/02mn08y26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122191"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianshe Kang","raw_affiliation_strings":["Department of Equipment Command and Management, Mechanical Engineering College, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"Department of Equipment Command and Management, Mechanical Engineering College, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210122191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079904358","display_name":"Kun Wu","orcid":"https://orcid.org/0000-0001-5396-8187"},"institutions":[{"id":"https://openalex.org/I4210122191","display_name":"Ordnance Engineering College","ror":"https://ror.org/02mn08y26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122191"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Wu","raw_affiliation_strings":["Department of Equipment Command and Management, Mechanical Engineering College, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"Department of Equipment Command and Management, Mechanical Engineering College, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210122191"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049151787","display_name":"Xu An Wang","orcid":"https://orcid.org/0000-0003-2070-4913"},"institutions":[{"id":"https://openalex.org/I4210134428","display_name":"Chinese People's Armed Police Force Engineering University","ror":"https://ror.org/031jzbb03","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210134428"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wang","raw_affiliation_strings":["Department of Electronics Technology Engineering, University of China Armed Police Force, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Technology Engineering, University of China Armed Police Force, Xi'an, China","institution_ids":["https://openalex.org/I4210134428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032182130"],"corresponding_institution_ids":["https://openalex.org/I4210122191"],"apc_list":null,"apc_paid":null,"fwci":1.305,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82431293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"411","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cuckoo-search","display_name":"Cuckoo search","score":0.9454555511474609},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.7734653949737549},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6593682765960693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4855320453643799},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4620702862739563},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4607926309108734},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4567701518535614},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4449620842933655},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4160645306110382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3540281653404236},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3468342125415802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3178398907184601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2206054925918579},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20839658379554749}],"concepts":[{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.9454555511474609},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.7734653949737549},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6593682765960693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4855320453643799},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4620702862739563},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4607926309108734},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4567701518535614},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4449620842933655},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4160645306110382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3540281653404236},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3468342125415802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3178398907184601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2206054925918579},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20839658379554749},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/incos.2016.68","is_oa":false,"landing_page_url":"https://doi.org/10.1109/incos.2016.68","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5299999713897705,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1218319848","https://openalex.org/W1923008564","https://openalex.org/W1976744965","https://openalex.org/W2000135657","https://openalex.org/W2003890325","https://openalex.org/W2030067505","https://openalex.org/W2054699435","https://openalex.org/W2069837130","https://openalex.org/W2117554478","https://openalex.org/W2153879578","https://openalex.org/W2158809017","https://openalex.org/W2196448681","https://openalex.org/W2354767007"],"related_works":["https://openalex.org/W1978568284","https://openalex.org/W2102833174","https://openalex.org/W2753354457","https://openalex.org/W2742451303","https://openalex.org/W3083898685","https://openalex.org/W2329556607","https://openalex.org/W3013665388","https://openalex.org/W2905415873","https://openalex.org/W4220814209","https://openalex.org/W2391800531"],"abstract_inverted_index":{"It":[0],"is":[1,38,44,105],"difficult":[2],"to":[3,15,23,46,87],"estimate":[4],"the":[5,17,30,35,41,48,54,58,63,68,89,102,106,110],"parameters":[6],"of":[7,19,29,60,109],"Weibull":[8,31,65],"mixtures":[9,32],"precisely":[10],"when":[11],"using":[12],"these":[13],"distributions":[14],"analyze":[16],"reliability":[18],"equipment":[20],"parts.":[21],"As":[22],"this":[24],"problem,":[25],"an":[26],"optimization":[27,49,79,90],"model":[28],"based":[33],"on":[34],"Bayes":[36],"theorem":[37],"proposed,":[39],"and":[40,62,81,92,115],"cuckoo":[42,74,103],"search":[43,75,104],"used":[45,86],"solve":[47,88],"model.":[50],"An":[51],"case":[52],"makes":[53],"diesel":[55],"injector":[56],"as":[57,67],"object":[59],"study":[61],"two-component":[64],"distribution":[66],"life":[69],"distribution.":[70],"Three":[71],"algorithms":[72],"including":[73],"(CS),":[76],"particle":[77],"swarm":[78],"(PSO)":[80],"genetic":[82],"algorithm":[83,108],"(GA)":[84],"are":[85,96],"model,":[91],"their":[93],"solving":[94],"results":[95],"compared.":[97],"The":[98],"result":[99],"shows":[100],"that":[101],"best":[107],"three":[111],"in":[112],"solution":[113],"efficiency":[114],"convergence":[116],"performance.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
