{"id":"https://openalex.org/W4317792366","doi":"https://doi.org/10.1109/wsc57314.2022.10015380","title":"Multi-Fidelity Discrete Optimization via Simulation","display_name":"Multi-Fidelity Discrete Optimization via Simulation","publication_year":2022,"publication_date":"2022-12-11","ids":{"openalex":"https://openalex.org/W4317792366","doi":"https://doi.org/10.1109/wsc57314.2022.10015380"},"language":"en","primary_location":{"id":"doi:10.1109/wsc57314.2022.10015380","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wsc57314.2022.10015380","pdf_url":null,"source":{"id":"https://openalex.org/S4363607869","display_name":"2022 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Winter Simulation Conference (WSC)","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/A5100459319","display_name":"Dongyang Li","orcid":"https://orcid.org/0000-0002-0009-0064"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dongyang Li","raw_affiliation_strings":["National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036186193","display_name":"Haitao Liu","orcid":"https://orcid.org/0000-0002-4106-214X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haitao Liu","raw_affiliation_strings":["National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039890630","display_name":"Jin Xiao","orcid":"https://orcid.org/0000-0003-2462-4996"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiao Jin","raw_affiliation_strings":["National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026816911","display_name":"Haobin Li","orcid":"https://orcid.org/0000-0001-5537-2395"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haobin Li","raw_affiliation_strings":["National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077706028","display_name":"Ek Peng Chew","orcid":"https://orcid.org/0000-0001-6461-1634"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ek Peng Chew","raw_affiliation_strings":["National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Industrial Systems Engineering and Management,Singapore,SINGAPORE,117576","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101570482","display_name":"Kok Choon Tan","orcid":"https://orcid.org/0000-0003-4344-2338"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kok Choon Tan","raw_affiliation_strings":["National University of Singapore,Department of Analytics and Operations,Singapore,SINGAPORE,119245"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Analytics and Operations,Singapore,SINGAPORE,119245","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015775800","display_name":"Yun Hui Lin","orcid":"https://orcid.org/0000-0002-0691-5266"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Yun Hui Lin","raw_affiliation_strings":["School of Business, University College Dublin,Dublin,IRELAND,4","School of Business, University College Dublin, Dublin, IRELAND"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business, University College Dublin,Dublin,IRELAND,4","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"School of Business, University College Dublin, Dublin, IRELAND","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3170","last_page":"3181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9997000098228455,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994000196456909,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9968000054359436,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.7868002653121948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6783783435821533},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6516179442405701},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.6330826878547668},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6213001608848572},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5687432885169983},{"id":"https://openalex.org/keywords/discrete-optimization","display_name":"Discrete optimization","score":0.540679931640625},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.522383987903595},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.4912399649620056},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48500320315361023},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.46531084179878235},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.44623643159866333},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43123260140419006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4228343963623047},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4117441177368164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22814494371414185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2075495421886444},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1909443438053131},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11326426267623901}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7868002653121948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6783783435821533},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6516179442405701},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.6330826878547668},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6213001608848572},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5687432885169983},{"id":"https://openalex.org/C145671259","wikidata":"https://www.wikidata.org/wiki/Q1493786","display_name":"Discrete optimization","level":3,"score":0.540679931640625},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.522383987903595},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.4912399649620056},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48500320315361023},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.46531084179878235},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.44623643159866333},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43123260140419006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4228343963623047},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4117441177368164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22814494371414185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2075495421886444},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1909443438053131},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11326426267623901},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc57314.2022.10015380","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wsc57314.2022.10015380","pdf_url":null,"source":{"id":"https://openalex.org/S4363607869","display_name":"2022 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W143236119","https://openalex.org/W334209797","https://openalex.org/W600148761","https://openalex.org/W1510052597","https://openalex.org/W1536615069","https://openalex.org/W1972209418","https://openalex.org/W1977046327","https://openalex.org/W1982886636","https://openalex.org/W2063180182","https://openalex.org/W2080648111","https://openalex.org/W2318369167","https://openalex.org/W2397089707","https://openalex.org/W2898266389","https://openalex.org/W2905058552","https://openalex.org/W2909310974","https://openalex.org/W2973945123","https://openalex.org/W3092934784","https://openalex.org/W4237029372","https://openalex.org/W4238746485","https://openalex.org/W6729429149"],"related_works":["https://openalex.org/W3104422856","https://openalex.org/W4206864338","https://openalex.org/W4287867179","https://openalex.org/W3134690064","https://openalex.org/W4210726438","https://openalex.org/W4287752080","https://openalex.org/W3007674363","https://openalex.org/W4287776349","https://openalex.org/W3026715030","https://openalex.org/W4317792366"],"abstract_inverted_index":{"Digital":[0],"simulation":[1,23],"is":[2,30,63],"a":[3],"prevalent":[4],"tool":[5],"to":[6,44,65],"evaluate":[7],"the":[8,19,27,60,67,73,82,90],"performance":[9,104],"of":[10,77],"complex":[11],"industrial":[12],"systems.":[13],"In":[14,34],"this":[15],"paper,":[16],"we":[17,36],"consider":[18],"discrete":[20],"optimization":[21,46,61,93],"via":[22],"(DOvS)":[24],"problems,":[25],"where":[26],"design":[28],"space":[29],"an":[31],"integer":[32],"lattice.":[33],"addition,":[35],"are":[37],"interested":[38],"in":[39],"leveraging":[40],"cheap":[41],"low-fidelity":[42,109],"models":[43],"enhance":[45],"efficiency.":[47],"An":[48],"innovative":[49],"Gaussian":[50,84],"Markov":[51,85],"random":[52],"field":[53],"(GMRF),":[54],"which":[55],"adaptively":[56],"evolves":[57],"along":[58],"with":[59],"process,":[62],"introduced":[64],"exploit":[66],"spatial":[68],"and":[69],"inter-model":[70],"relationships":[71],"among":[72],"objective":[74],"function":[75],"values":[76],"designs.":[78],"We":[79],"then":[80],"propose":[81],"Multi-Fidelity":[83],"Improvement":[86],"Algorithm":[87],"(MFGMIA)":[88],"under":[89],"Bayesian":[91],"global":[92],"framework.":[94],"The":[95],"numerical":[96],"experiments":[97],"show":[98],"that":[99],"it":[100],"can":[101],"achieve":[102],"significant":[103],"improvement":[105],"by":[106],"properly":[107],"using":[108],"information.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
