{"id":"https://openalex.org/W4237169171","doi":"https://doi.org/10.1109/wsc.2016.7822144","title":"Improving the efficiency of evolutionary algorithms for large-scale optimization with multi-fidelity models","display_name":"Improving the efficiency of evolutionary algorithms for large-scale optimization with multi-fidelity models","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W4237169171","doi":"https://doi.org/10.1109/wsc.2016.7822144"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2016.7822144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2016.7822144","pdf_url":null,"source":{"id":"https://openalex.org/S4363607936","display_name":"2016 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":"2016 Winter Simulation Conference (WSC)","raw_type":"proceedings-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/A5015623496","display_name":"Chun-Chih Chiu","orcid":"https://orcid.org/0009-0004-2026-3649"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Chih Chiu","raw_affiliation_strings":["Industrial Engineering & Engineering Management, National Tsing Hua University, Hsinchu, Taiwan 30013, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering & Engineering Management, National Tsing Hua University, Hsinchu, Taiwan 30013, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763912","display_name":"Si Zhang","orcid":"https://orcid.org/0000-0003-0840-6016"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Si Zhang","raw_affiliation_strings":["Industrial Engineering & Engineering Management, National Tsing Hua University, Hsinchu, Taiwan 30013, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering & Engineering Management, National Tsing Hua University, Hsinchu, Taiwan 30013, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102108054","display_name":"James T. Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"James T. Lin","raw_affiliation_strings":["School of Management, Shanghai University, Shanghai, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Shanghai University, Shanghai, CHINA","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059572294","display_name":"Lu Zhen","orcid":"https://orcid.org/0000-0001-5209-1109"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Zhen","raw_affiliation_strings":["School of Management, Shanghai University, Shanghai, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Shanghai University, Shanghai, CHINA","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075967519","display_name":"Edward Huang","orcid":"https://orcid.org/0000-0003-0893-2112"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward Huang","raw_affiliation_strings":["Systems Engineering & Operations Research, George Mason University, Fairfax, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Engineering & Operations Research, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7598,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75792507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"815","last_page":"826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9980000257492065,"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/fidelity","display_name":"Fidelity","score":0.8684931993484497},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6793398857116699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686708927154541},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5675789713859558},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5655609369277954},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5344658493995667},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5054409503936768},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.46933355927467346},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4477076530456543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44671958684921265},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4459006190299988},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4431021809577942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23845821619033813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22349506616592407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17537179589271545},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07586568593978882}],"concepts":[{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.8684931993484497},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6793398857116699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686708927154541},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5675789713859558},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5655609369277954},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5344658493995667},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5054409503936768},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.46933355927467346},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4477076530456543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44671958684921265},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4459006190299988},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4431021809577942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23845821619033813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22349506616592407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17537179589271545},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07586568593978882},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2016.7822144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2016.7822144","pdf_url":null,"source":{"id":"https://openalex.org/S4363607936","display_name":"2016 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":"2016 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5699999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1577352482","https://openalex.org/W1972209418","https://openalex.org/W1979308183","https://openalex.org/W2008003451","https://openalex.org/W2052434538","https://openalex.org/W2062873010","https://openalex.org/W2095562251","https://openalex.org/W2139386984","https://openalex.org/W2152195021","https://openalex.org/W2397089707","https://openalex.org/W4255693858"],"related_works":["https://openalex.org/W4313443006","https://openalex.org/W2945374968","https://openalex.org/W4385452045","https://openalex.org/W4293777179","https://openalex.org/W2164070813","https://openalex.org/W2135608140","https://openalex.org/W2895525995","https://openalex.org/W4224231624","https://openalex.org/W4297582752","https://openalex.org/W4285805405"],"abstract_inverted_index":{"Large":[0],"scale":[1,42],"optimization":[2,38],"problems":[3,39],"are":[4,68],"often":[5],"with":[6,40,55],"complex":[7],"systems":[8],"and":[9,82,122],"large":[10,79],"solution":[11,43,80],"space,":[12],"which":[13,31],"significantly":[14],"increase":[15],"their":[16],"computing":[17],"cost.":[18],"The":[19,136],"idea":[20],"of":[21,36,63,74],"ordinal":[22],"transformation":[23],"(OT)":[24],"is":[25],"proposed":[26],"in":[27],"the":[28,34,61,72,88,105,110,116,132,141],"method":[29,143],"MO2TOS":[30],"can":[32,144],"improve":[33],"efficiency":[35],"solving":[37,62],"limited":[41],"space":[44,81],"by":[45,118],"using":[46,119],"multi-fidelity":[47,102,120],"models.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"integrate":[53],"OT":[54,89,106],"evolutionary":[56,92],"algorithms":[57,67,93],"to":[58,70,87,95,98,108,130,146],"speed":[59],"up":[60],"large-scale":[64],"problems.":[65],"Evolutionary":[66],"employed":[69],"search":[71],"solutions":[73,100],"low-fidelity":[75],"model":[76],"from":[77,101],"a":[78,84],"provide":[83],"good":[85],"direction":[86],"procedure.":[90,135],"Meanwhile,":[91],"need":[94],"determine":[96],"how":[97],"select":[99],"models":[103,121],"after":[104],"procedure":[107],"update":[109],"next":[111],"generation.":[112],"We":[113],"theoretically":[114],"show":[115],"improvement":[117],"employ":[123],"genetic":[124],"algorithm":[125],"(GA)":[126],"as":[127],"an":[128],"example":[129],"exhibit":[131],"detailed":[133],"implementation":[134],"numerical":[137],"experiments":[138],"demonstrate":[139],"that":[140],"new":[142],"lead":[145],"significant":[147],"improvement.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}