{"id":"https://openalex.org/W3040448566","doi":"https://doi.org/10.1109/tii.2020.3006514","title":"Hybrid Intelligence Assisted Sample Average Approximation Method for Chance Constrained Dynamic Optimization","display_name":"Hybrid Intelligence Assisted Sample Average Approximation Method for Chance Constrained Dynamic Optimization","publication_year":2020,"publication_date":"2020-07-02","ids":{"openalex":"https://openalex.org/W3040448566","doi":"https://doi.org/10.1109/tii.2020.3006514","mag":"3040448566"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2020.3006514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3006514","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","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/A5022312188","display_name":"Xiaojun Zhou","orcid":"https://orcid.org/0000-0002-6367-696X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojun Zhou","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6367-696X","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028953872","display_name":"Xiangyue Wang","orcid":"https://orcid.org/0000-0002-1975-5724"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyue Wang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1975-5724","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074290686","display_name":"Tingwen Huang","orcid":"https://orcid.org/0000-0001-9610-846X"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Tingwen Huang","raw_affiliation_strings":["Texas A & M University at Qatar, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0001-9610-846X","affiliations":[{"raw_affiliation_string":"Texas A & M University at Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108047088","display_name":"Chunhua Yang","orcid":"https://orcid.org/0000-0003-2550-1509"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhua Yang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2550-1509","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022312188"],"corresponding_institution_ids":["https://openalex.org/I139660479","https://openalex.org/I4210136793"],"apc_list":null,"apc_paid":null,"fwci":3.4219,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.9260199,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"17","issue":"9","first_page":"6409","last_page":"6418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9976000189781189,"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/T11053","display_name":"Process Optimization and Integration","score":0.9973000288009644,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7060894966125488},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6424366235733032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6101009845733643},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5839310884475708},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5039672255516052},{"id":"https://openalex.org/keywords/constrained-optimization","display_name":"Constrained optimization","score":0.44683578610420227},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4325268268585205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19452959299087524}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7060894966125488},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6424366235733032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6101009845733643},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5839310884475708},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5039672255516052},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.44683578610420227},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4325268268585205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19452959299087524},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2020.3006514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3006514","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G17054015","display_name":null,"funder_award_id":"2018JJ3683","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5789780205","display_name":null,"funder_award_id":"61988101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G721055481","display_name":null,"funder_award_id":"61860206014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8284568219","display_name":null,"funder_award_id":"2019zzts575","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8635280832","display_name":null,"funder_award_id":"61873285","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"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1647779468","https://openalex.org/W1965420754","https://openalex.org/W1968324602","https://openalex.org/W1971092617","https://openalex.org/W1983221302","https://openalex.org/W1996990546","https://openalex.org/W2011621283","https://openalex.org/W2016702053","https://openalex.org/W2018497421","https://openalex.org/W2026272724","https://openalex.org/W2045496181","https://openalex.org/W2049606892","https://openalex.org/W2086057063","https://openalex.org/W2086861246","https://openalex.org/W2087844209","https://openalex.org/W2093762742","https://openalex.org/W2108294645","https://openalex.org/W2109264196","https://openalex.org/W2126998183","https://openalex.org/W2149518557","https://openalex.org/W2156194072","https://openalex.org/W2159955170","https://openalex.org/W2164499670","https://openalex.org/W2192870712","https://openalex.org/W2294947825","https://openalex.org/W2319491739","https://openalex.org/W2399440847","https://openalex.org/W2625248137","https://openalex.org/W2757444448","https://openalex.org/W2761338899","https://openalex.org/W2766044377","https://openalex.org/W2884870203","https://openalex.org/W2905984359","https://openalex.org/W2976076864","https://openalex.org/W3102002161","https://openalex.org/W6676630670"],"related_works":["https://openalex.org/W2349580982","https://openalex.org/W3217415483","https://openalex.org/W4285677055","https://openalex.org/W1992731528","https://openalex.org/W2007843488","https://openalex.org/W1994436307","https://openalex.org/W2795565301","https://openalex.org/W1987021796","https://openalex.org/W2474851184","https://openalex.org/W3104770499"],"abstract_inverted_index":{"Realistic":[0],"industrial":[1,15,45,133],"process":[2,7,16,46],"is":[3,40,76,108,121],"usually":[4],"a":[5,72,89,95,103,112],"dynamic":[6,36,51,56,127],"with":[8],"uncertainty.":[9],"Chance":[10],"constraints":[11,22],"are":[12,64,100],"applicable":[13],"to":[14,42,66,78,110,123,135],"modeling":[17],"under":[18],"uncertain":[19],"conditions,":[20],"where":[21,82],"cannot":[23],"be":[24,30],"strictly":[25],"met,":[26],"or":[27],"need":[28],"not":[29],"fully":[31],"met.":[32],"Therefore,":[33],"chance":[34,54],"constrained":[35,55],"optimization":[37,57,106,116,128],"(CCDO)":[38],"formulation":[39],"available":[41],"address":[43],"realistic":[44],"issues.":[47],"Because":[48],"of":[49],"the":[50,144],"and":[52,94,114,132],"uncertainty,":[53],"problems":[58],"(CCDOPs)":[59],"arising":[60],"from":[61],"practical":[62],"industries":[63],"hard":[65],"cope":[67],"with.":[68],"In":[69],"this":[70,80],"article,":[71],"novel":[73],"CCDO":[74],"method":[75,120,146],"proposed":[77,119,145],"resolve":[79],"issue,":[81],"an":[83],"adaptive":[84],"sample":[85],"average":[86],"approximation":[87],"method,":[88,93],"control":[90],"vector":[91],"parameterization":[92],"state":[96],"constraint":[97],"handling":[98],"strategy":[99],"integrated.":[101],"Specially,":[102],"hybrid":[104],"intelligent":[105],"algorithm":[107],"introduced":[109],"realize":[111],"global":[113],"efficient":[115],"performance.":[117],"The":[118,139],"applied":[122],"CCDOPs":[124],"modified":[125],"by":[126],"standard":[129],"test":[130],"functions":[131],"experiments":[134],"demonstrate":[136],"its":[137],"effectiveness.":[138],"experimental":[140],"results":[141],"show":[142],"that":[143],"has":[147],"good":[148],"performance":[149],"in":[150],"solving":[151],"CCDOPs.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}