{"id":"https://openalex.org/W2811189548","doi":"https://doi.org/10.1115/1.4040608","title":"Robust Tolerance Optimization for Internal Combustion Engines Under Parameter and Model Uncertainties Considering Metamodeling Uncertainty From Gaussian Processes","display_name":"Robust Tolerance Optimization for Internal Combustion Engines Under Parameter and Model Uncertainties Considering Metamodeling Uncertainty From Gaussian Processes","publication_year":2018,"publication_date":"2018-07-20","ids":{"openalex":"https://openalex.org/W2811189548","doi":"https://doi.org/10.1115/1.4040608","mag":"2811189548"},"language":"en","primary_location":{"id":"doi:10.1115/1.4040608","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4040608","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","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/A5010136984","display_name":"Yanjun Zhang","orcid":"https://orcid.org/0000-0003-4878-4847"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjun Zhang","raw_affiliation_strings":["Joint Institute Shanghai Jiao Tong University, University of Michigan\u2014Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint Institute Shanghai Jiao Tong University, University of Michigan\u2014Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756882","display_name":"Mian Li","orcid":"https://orcid.org/0000-0001-5184-5861"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mian Li","raw_affiliation_strings":["Joint Institute Shanghai Jiao Tong University, University of Michigan\u2014Shanghai Jiao Tong University, Shanghai 200240, China e-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint Institute Shanghai Jiao Tong University, University of Michigan\u2014Shanghai Jiao Tong University, Shanghai 200240, China e-mail:","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100756882"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.8597,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76295045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9925000071525574,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/metamodeling","display_name":"Metamodeling","score":0.8421332240104675},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6203656196594238},{"id":"https://openalex.org/keywords/uncertainty-analysis","display_name":"Uncertainty analysis","score":0.5268620252609253},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4786050021648407},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.4609127640724182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43000897765159607},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.4218841791152954},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4204222857952118},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.41444632411003113},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.21096676588058472},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1122882068157196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09342586994171143}],"concepts":[{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.8421332240104675},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6203656196594238},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.5268620252609253},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4786050021648407},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.4609127640724182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43000897765159607},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.4218841791152954},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4204222857952118},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.41444632411003113},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.21096676588058472},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1122882068157196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09342586994171143},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":1,"locations":[{"id":"doi:10.1115/1.4040608","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4040608","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1110260517","display_name":null,"funder_award_id":"51375302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3907383064","display_name":null,"funder_award_id":"51605286","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W136197458","https://openalex.org/W350670247","https://openalex.org/W1504272484","https://openalex.org/W1510052597","https://openalex.org/W1965171208","https://openalex.org/W1969524828","https://openalex.org/W1972259045","https://openalex.org/W1973333099","https://openalex.org/W1977342186","https://openalex.org/W1982668418","https://openalex.org/W1982886636","https://openalex.org/W1985845039","https://openalex.org/W1987313619","https://openalex.org/W1991624657","https://openalex.org/W2017087353","https://openalex.org/W2018044188","https://openalex.org/W2018678329","https://openalex.org/W2038669746","https://openalex.org/W2040932457","https://openalex.org/W2047626293","https://openalex.org/W2048711666","https://openalex.org/W2051726657","https://openalex.org/W2059880604","https://openalex.org/W2067056991","https://openalex.org/W2072028796","https://openalex.org/W2073171195","https://openalex.org/W2076184585","https://openalex.org/W2077490425","https://openalex.org/W2083466280","https://openalex.org/W2092612581","https://openalex.org/W2094460117","https://openalex.org/W2098480906","https://openalex.org/W2105956815","https://openalex.org/W2112147653","https://openalex.org/W2118068784","https://openalex.org/W2145475762","https://openalex.org/W2155162055","https://openalex.org/W2155846581","https://openalex.org/W2160120565","https://openalex.org/W2164779904","https://openalex.org/W2171012004","https://openalex.org/W2295409494","https://openalex.org/W2309675423","https://openalex.org/W2344947996","https://openalex.org/W2369371738","https://openalex.org/W2440440805","https://openalex.org/W2504302816","https://openalex.org/W2587759101","https://openalex.org/W2605042950","https://openalex.org/W2749552960","https://openalex.org/W4237151101","https://openalex.org/W4248679622","https://openalex.org/W4252436564","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W93577605","https://openalex.org/W2276998826","https://openalex.org/W2057769593","https://openalex.org/W4249135812","https://openalex.org/W2116089868","https://openalex.org/W1991803138","https://openalex.org/W2001403770","https://openalex.org/W3127311823","https://openalex.org/W4387046439","https://openalex.org/W2946139404"],"abstract_inverted_index":{"As":[0],"the":[1,7,32,45,62,69,91,111,138,147,157,173,180,218,228,233],"core":[2],"component":[3],"of":[4,25,36,49,72,78,93,160,232],"an":[5],"automobile,":[6],"internal":[8],"combustion":[9],"engine":[10,63],"(ICE)":[11],"nowadays":[12],"is":[13,24,106,153,224],"still":[14],"a":[15,96,102,196,221],"typical":[16,131],"complex":[17],"engineering":[18],"system.":[19],"Tolerance":[20],"design":[21,57],"for":[22,68,90,115,201],"ICEs":[23,73,94,116,135],"great":[26,59],"importance":[27],"since":[28],"small":[29],"changes":[30],"in":[31,41,55,134,137,165,176],"dimensions":[33],"and":[34,47,119,183,198,206,230],"clearances":[35],"ICE":[37,161,219],"components":[38,71],"may":[39],"result":[40],"large":[42],"variations":[43],"on":[44,61],"performance":[46],"cost":[48],"manufactured":[50],"products.":[51],"In":[52,84,99,215],"addition,":[53],"uncertainty":[54,81,125,133],"tolerance":[56,66,112,213],"has":[58,74,207],"impact":[60],"performance.":[64],"Although":[65],"optimization":[67,88,113],"key":[70],"been":[75],"discussed,":[76],"few":[77],"them":[79],"take":[80],"into":[82],"consideration.":[83],"this":[85,100],"regard,":[86],"robust":[87,203],"(RO)":[89],"tolerances":[92,205],"remains":[95],"critical":[97],"issue.":[98],"work,":[101],"novel":[103],"RO":[104,193],"approach":[105,194],"proposed":[107,192,234],"to":[108,146,155,178,217,226],"deal":[109],"with":[110],"problem":[114],"under":[117],"parameter":[118,132],"model":[120,166,175],"uncertainties,":[121],"even":[122],"considering":[123],"metamodeling":[124,189],"from":[126],"Gaussian":[127],"processes":[128],"(GP).":[129],"A":[130],"exists":[136],"rotation":[139],"speed":[140],"which":[141,163,187],"can":[142],"vary":[143],"randomly":[144],"due":[145],"inherent":[148],"randomness.":[149],"AVL":[150],"EXCITE":[151],"software":[152],"used":[154,171],"build":[156],"simulation":[158,182],"models":[159,169],"components,":[162],"brings":[164],"uncertainty.":[167,190],"GP":[168],"are":[170],"as":[172],"analysis":[174],"order":[177],"combine":[179],"corresponding":[181],"experimental":[184],"data":[185],"together,":[186],"introduces":[188],"The":[191],"provides":[195],"general":[197],"systematic":[199],"procedure":[200],"determining":[202],"optimal":[204],"competitive":[208],"advantages":[209],"over":[210],"traditional":[211],"experience-based":[212],"design.":[214],"addition":[216],"example,":[220],"numerical":[222],"example":[223],"utilized":[225],"demonstrate":[227],"applicability":[229],"effectiveness":[231],"approach.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
