{"id":"https://openalex.org/W4399728973","doi":"https://doi.org/10.1109/syscon61195.2024.10553519","title":"Two-stage chance-constrained programming for system optimization under uncertainty","display_name":"Two-stage chance-constrained programming for system optimization under uncertainty","publication_year":2024,"publication_date":"2024-04-15","ids":{"openalex":"https://openalex.org/W4399728973","doi":"https://doi.org/10.1109/syscon61195.2024.10553519"},"language":"en","primary_location":{"id":"doi:10.1109/syscon61195.2024.10553519","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/syscon61195.2024.10553519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Systems Conference (SysCon)","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/A5056493267","display_name":"Yu Yang","orcid":"https://orcid.org/0000-0002-7282-1452"},"institutions":[{"id":"https://openalex.org/I59897056","display_name":"California State University, Long Beach","ror":"https://ror.org/0080fxk18","country_code":"US","type":"education","lineage":["https://openalex.org/I59897056"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu Yang","raw_affiliation_strings":["California State University,Chemical Engineering Department,Long Beach,CA,USA,90840"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University,Chemical Engineering Department,Long Beach,CA,USA,90840","institution_ids":["https://openalex.org/I59897056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056493267"],"corresponding_institution_ids":["https://openalex.org/I59897056"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09192083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11053","display_name":"Process Optimization and Integration","score":0.998199999332428,"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/T11053","display_name":"Process Optimization and Integration","score":0.998199999332428,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9922000169754028,"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/T11413","display_name":"Risk and Portfolio Optimization","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6405383348464966},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.6334930658340454},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5031139254570007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20061594247817993},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06221988797187805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6405383348464966},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6334930658340454},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5031139254570007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20061594247817993},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06221988797187805},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/syscon61195.2024.10553519","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/syscon61195.2024.10553519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Systems Conference (SysCon)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W10881571","https://openalex.org/W1980444697","https://openalex.org/W1988622494","https://openalex.org/W1995083096","https://openalex.org/W2003515235","https://openalex.org/W2023575482","https://openalex.org/W2041977479","https://openalex.org/W2044121814","https://openalex.org/W2049741107","https://openalex.org/W2056940756","https://openalex.org/W2061962896","https://openalex.org/W2078135889","https://openalex.org/W2083259944","https://openalex.org/W2088795227","https://openalex.org/W2092698883","https://openalex.org/W2092975699","https://openalex.org/W2192113446","https://openalex.org/W2299174571","https://openalex.org/W2740343970","https://openalex.org/W2763821602","https://openalex.org/W2798344481","https://openalex.org/W2921812597","https://openalex.org/W2995611736","https://openalex.org/W4206283778"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"This":[0],"study":[1],"focuses":[2],"on":[3],"the":[4,22,30,46,50,77,101,130,135,141,145,155,160],"two-stage":[5,95],"stochastic":[6],"program":[7,124],"(SP)":[8],"with":[9,42,68,134,140],"chance":[10,64],"constraints":[11,38,65],"for":[12],"decision-making":[13],"in":[14,66,104],"system":[15,74],"optimization":[16,114,150],"under":[17],"normally-distributed":[18],"uncertainties.":[19,111],"At":[20],"stage-I,":[21],"integer":[23],"decision":[24,53],"variables":[25,107],"are":[26,108],"determined":[27],"such":[28],"that":[29,125],"expected":[31],"objective":[32],"function":[33],"is":[34,48,54,98,126,138,152],"optimized":[35],"and":[36,82,163],"operational":[37],"can":[39,85,116],"be":[40,86,117],"satisfied":[41],"high":[43],"chance.":[44],"Once":[45],"uncertainty":[47],"realized,":[49],"optimal":[51],"stage-II":[52,106],"made":[55],"accordingly":[56],"to":[57,88,143,158],"adjust":[58],"recourse":[59],"operations.":[60],"The":[61,92],"introduction":[62],"of":[63,73],"comparison":[67],"traditional":[69],"SP":[70,96],"helps":[71],"mitigation":[72],"conservativeness":[75],"because":[76],"worst-scenario":[78],"less":[79],"likely":[80],"occurs":[81],"override":[83],"operations":[84],"employed":[87],"prevent":[89],"catastrophic":[90],"outcomes.":[91],"resulting":[93],"chance-constrained":[94],"(CC-SP)":[97],"solved":[99,127,153],"through":[100,154],"linear":[102],"decision-rule":[103],"which":[105],"parameterized":[109],"by":[110],"Such":[112],"an":[113],"problem":[115,151],"reformulated":[118],"as":[119],"a":[120],"mixed-integer":[121],"second-order":[122],"cone":[123],"efficiently.":[128],"Furthermore,":[129],"posterior":[131],"evaluation":[132],"together":[133],"Balas":[136],"cut":[137],"integrated":[139],"CC-SP":[142],"improve":[144],"solution":[146],"quality.":[147],"A":[148],"refinery":[149],"proposed":[156],"scheme":[157],"verify":[159],"computational":[161],"efficiency":[162],"probabilistic":[164],"feasibility.":[165]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}