{"id":"https://openalex.org/W2969333312","doi":"https://doi.org/10.1515/mcma-2019-2043","title":"Parallel MCMC methods for global optimization","display_name":"Parallel MCMC methods for global optimization","publication_year":2019,"publication_date":"2019-08-17","ids":{"openalex":"https://openalex.org/W2969333312","doi":"https://doi.org/10.1515/mcma-2019-2043","mag":"2969333312"},"language":"en","primary_location":{"id":"doi:10.1515/mcma-2019-2043","is_oa":false,"landing_page_url":"http://doi.org/10.1515/mcma-2019-2043","pdf_url":null,"source":{"id":"https://openalex.org/S142132501","display_name":"Monte Carlo Methods and Applications","issn_l":"0929-9629","issn":["0929-9629","1569-3961"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Monte Carlo Methods and Applications","raw_type":"journal-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/A5026985886","display_name":"Lihao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131439","display_name":"Applied Mathematics (United States)","ror":"https://ror.org/03seew607","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131439"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lihao Zhang","raw_affiliation_strings":["Applied Mathematics & Statistics , Stony Brook University , Stony Brook 11794-3600 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Mathematics & Statistics , Stony Brook University , Stony Brook 11794-3600 , USA","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I4210131439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014233937","display_name":"Zeyang Ye","orcid":"https://orcid.org/0000-0003-1891-5631"},"institutions":[{"id":"https://openalex.org/I4210131439","display_name":"Applied Mathematics (United States)","ror":"https://ror.org/03seew607","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131439"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeyang Ye","raw_affiliation_strings":["Applied Mathematics & Statistics , Stony Brook University , Stony Brook 11794-3600 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Mathematics & Statistics , Stony Brook University , Stony Brook 11794-3600 , USA","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I4210131439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047165687","display_name":"Yuefan Deng","orcid":"https://orcid.org/0000-0002-5224-3958"},"institutions":[{"id":"https://openalex.org/I4210131439","display_name":"Applied Mathematics (United States)","ror":"https://ror.org/03seew607","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131439"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuefan Deng","raw_affiliation_strings":["Applied Mathematics & Statistics , Stony Brook University , Stony Brook 11794-3600 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Mathematics & Statistics , Stony Brook University , Stony Brook 11794-3600 , USA","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I4210131439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026985886"],"corresponding_institution_ids":["https://openalex.org/I4210131439","https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11698455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"3","first_page":"227","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9932000041007996,"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/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8712355494499207},{"id":"https://openalex.org/keywords/parallel-tempering","display_name":"Parallel tempering","score":0.7293424606323242},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7141160368919373},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6944726705551147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6700832843780518},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6211347579956055},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5079475045204163},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5006098747253418},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.46735456585884094},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4404065012931824},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43958619236946106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40850120782852173},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3854946196079254},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.33270686864852905},{"id":"https://openalex.org/keywords/hybrid-monte-carlo","display_name":"Hybrid Monte Carlo","score":0.3078465163707733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25496071577072144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12846308946609497},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.11461475491523743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1076047420501709},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06475269794464111}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8712355494499207},{"id":"https://openalex.org/C187653413","wikidata":"https://www.wikidata.org/wiki/Q7135015","display_name":"Parallel tempering","level":5,"score":0.7293424606323242},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7141160368919373},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6944726705551147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6700832843780518},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6211347579956055},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5079475045204163},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5006098747253418},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.46735456585884094},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4404065012931824},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43958619236946106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40850120782852173},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3854946196079254},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.33270686864852905},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.3078465163707733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25496071577072144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12846308946609497},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.11461475491523743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1076047420501709},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06475269794464111},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/mcma-2019-2043","is_oa":false,"landing_page_url":"http://doi.org/10.1515/mcma-2019-2043","pdf_url":null,"source":{"id":"https://openalex.org/S142132501","display_name":"Monte Carlo Methods and Applications","issn_l":"0929-9629","issn":["0929-9629","1569-3961"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Monte Carlo Methods and Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:bpj:mcmeap:v:25:y:2019:i:3:p:227-237:n:4","is_oa":false,"landing_page_url":"https://doi.org/10.1515/mcma-2019-2043","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1513081986","https://openalex.org/W1593394816","https://openalex.org/W1975848684","https://openalex.org/W1977187388","https://openalex.org/W1986393796","https://openalex.org/W2003407832","https://openalex.org/W2005228957","https://openalex.org/W2023005940","https://openalex.org/W2024060531","https://openalex.org/W2028582548","https://openalex.org/W2058709169","https://openalex.org/W2086961057","https://openalex.org/W2098964861","https://openalex.org/W2110142453","https://openalex.org/W2133535084","https://openalex.org/W2145552534","https://openalex.org/W2254477169","https://openalex.org/W2326740504","https://openalex.org/W2416255284","https://openalex.org/W6725373796"],"related_works":["https://openalex.org/W1483435625","https://openalex.org/W3143043463","https://openalex.org/W2300214449","https://openalex.org/W2104046435","https://openalex.org/W2338021483","https://openalex.org/W2964036097","https://openalex.org/W227870709","https://openalex.org/W2974901631","https://openalex.org/W2007883828","https://openalex.org/W1605906029"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"introduce":[2],"a":[3,9],"parallel":[4,45,73,79],"scheme":[5],"for":[6,18,35,39,71,77],"simulated":[7,69],"annealing,":[8],"widely":[10],"used":[11,38],"Markov":[12],"chain":[13],"Monte":[14],"Carlo":[15],"(MCMC)":[16],"method":[17,21],"optimization.":[19],"Our":[20],"is":[22,37],"constructed":[23],"and":[24,41],"analyzed":[25],"under":[26],"the":[27,44,52,63,66],"classical":[28],"framework":[29],"of":[30,43,65,68],"MCMC.":[31],"The":[32,47],"benchmark":[33],"function":[34],"optimization":[36],"validation":[40],"verification":[42],"scheme.":[46],"experimental":[48],"results,":[49],"along":[50],"with":[51,60],"proof":[53],"based":[54],"on":[55],"statistical":[56],"theory,":[57],"provide":[58],"us":[59],"insights":[61],"into":[62],"mechanics":[64],"parallelization":[67],"annealing":[70],"high":[72],"efficiency":[74],"or":[75],"scalability":[76],"large":[78],"computers.":[80]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}