{"id":"https://openalex.org/W3121642476","doi":"https://doi.org/10.1109/tcad.2021.3054811","title":"An Efficient Batch-Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multiobjective Acquisition Ensemble","display_name":"An Efficient Batch-Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multiobjective Acquisition Ensemble","publication_year":2021,"publication_date":"2021-01-26","ids":{"openalex":"https://openalex.org/W3121642476","doi":"https://doi.org/10.1109/tcad.2021.3054811","mag":"3121642476"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2021.3054811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2021.3054811","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"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 Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.15412","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017568991","display_name":"Shuhan Zhang","orcid":"https://orcid.org/0000-0002-3959-8893"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhan Zhang","raw_affiliation_strings":["Microelectronics Department, State Key Laboratory of ASIC & System, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3959-8893","affiliations":[{"raw_affiliation_string":"Microelectronics Department, State Key Laboratory of ASIC & System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045464812","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0003-2164-8175"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Microelectronics Department, State Key Laboratory of ASIC & System, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2164-8175","affiliations":[{"raw_affiliation_string":"Microelectronics Department, State Key Laboratory of ASIC & System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037328458","display_name":"Changhao Yan","orcid":"https://orcid.org/0000-0002-8936-3945"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhao Yan","raw_affiliation_strings":["Microelectronics Department, State Key Laboratory of ASIC & System, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8936-3945","affiliations":[{"raw_affiliation_string":"Microelectronics Department, State Key Laboratory of ASIC & System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054960059","display_name":"Dian Zhou","orcid":"https://orcid.org/0000-0002-2648-5232"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dian Zhou","raw_affiliation_strings":["Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-2648-5232","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064213921","display_name":"Xuan Zeng","orcid":"https://orcid.org/0000-0002-8097-4053"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Zeng","raw_affiliation_strings":["Microelectronics Department, State Key Laboratory of ASIC & System, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8097-4053","affiliations":[{"raw_affiliation_string":"Microelectronics Department, State Key Laboratory of ASIC & System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.1758,"has_fulltext":false,"cited_by_count":121,"citation_normalized_percentile":{"value":0.97992716,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"41","issue":"1","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9976999759674072,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.7373813390731812},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.563546359539032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5584972500801086},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5520650148391724},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3484974503517151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23677584528923035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.202549010515213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17356598377227783}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7373813390731812},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.563546359539032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5584972500801086},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5520650148391724},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3484974503517151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23677584528923035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.202549010515213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17356598377227783}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcad.2021.3054811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2021.3054811","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"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 Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2106.15412","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.15412","pdf_url":"https://arxiv.org/pdf/2106.15412","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.15412","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.15412","pdf_url":"https://arxiv.org/pdf/2106.15412","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1641812199","display_name":null,"funder_award_id":"62011530132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2318418051","display_name":null,"funder_award_id":"2020YFA0711901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2948269054","display_name":null,"funder_award_id":"2020YFA0711900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5041706605","display_name":null,"funder_award_id":"61822402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6197183902","display_name":null,"funder_award_id":"61929102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6975089314","display_name":null,"funder_award_id":"61774045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7938649858","display_name":null,"funder_award_id":"61974032","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W1494807122","https://openalex.org/W1502922572","https://openalex.org/W1585939719","https://openalex.org/W1587294773","https://openalex.org/W1665719966","https://openalex.org/W1693986406","https://openalex.org/W1701825639","https://openalex.org/W1964239621","https://openalex.org/W1983571569","https://openalex.org/W1998752433","https://openalex.org/W2004808074","https://openalex.org/W2028334174","https://openalex.org/W2039522160","https://openalex.org/W2061144551","https://openalex.org/W2065183815","https://openalex.org/W2070334657","https://openalex.org/W2074046446","https://openalex.org/W2093276802","https://openalex.org/W2096636084","https://openalex.org/W2099201756","https://openalex.org/W2099679938","https://openalex.org/W2104017154","https://openalex.org/W2111526171","https://openalex.org/W2112485705","https://openalex.org/W2115781554","https://openalex.org/W2126105956","https://openalex.org/W2126639080","https://openalex.org/W2138368455","https://openalex.org/W2143381319","https://openalex.org/W2144133630","https://openalex.org/W2151554678","https://openalex.org/W2154237706","https://openalex.org/W2155927283","https://openalex.org/W2163565880","https://openalex.org/W2166566250","https://openalex.org/W2167789032","https://openalex.org/W2170444246","https://openalex.org/W2171048418","https://openalex.org/W2187169370","https://openalex.org/W2192203593","https://openalex.org/W2386578045","https://openalex.org/W2409689189","https://openalex.org/W2593660867","https://openalex.org/W2616619952","https://openalex.org/W2728797307","https://openalex.org/W2736440494","https://openalex.org/W2769791151","https://openalex.org/W2804987245","https://openalex.org/W2809500545","https://openalex.org/W2900070061","https://openalex.org/W2945689147","https://openalex.org/W2949474923","https://openalex.org/W2950141829","https://openalex.org/W2951665052","https://openalex.org/W2952519754","https://openalex.org/W2963110737","https://openalex.org/W2989830252","https://openalex.org/W2989851762","https://openalex.org/W2994891834","https://openalex.org/W2998324702","https://openalex.org/W3011917993","https://openalex.org/W3013336438","https://openalex.org/W3035803417","https://openalex.org/W3040947815","https://openalex.org/W3100083105","https://openalex.org/W3102150134","https://openalex.org/W3124229194","https://openalex.org/W4234228486","https://openalex.org/W4237422979","https://openalex.org/W4239954986","https://openalex.org/W4252419006","https://openalex.org/W4297917482","https://openalex.org/W6635097213","https://openalex.org/W6637591494","https://openalex.org/W6676733723","https://openalex.org/W6681821898","https://openalex.org/W6710751941","https://openalex.org/W6740824378","https://openalex.org/W6751513613","https://openalex.org/W6765435108"],"related_works":["https://openalex.org/W4401858220","https://openalex.org/W4318426920","https://openalex.org/W4318703531","https://openalex.org/W4252419006","https://openalex.org/W2055791821","https://openalex.org/W4304194161","https://openalex.org/W4386159657","https://openalex.org/W2162013778","https://openalex.org/W2153873031","https://openalex.org/W570431388"],"abstract_inverted_index":{"Bayesian":[0,16,37,240],"optimization":[1,17,38,50,94,109,114,203,214,223,241],"is":[2,209,248],"a":[3,84,160],"promising":[4],"methodology":[5],"for":[6,91,106,200],"analog":[7],"circuit":[8],"synthesis.":[9],"However,":[10],"the":[11,15,49,57,61,76,92,104,107,113,135,144,149,155,166,181,201,206,212,222,237,245],"sequential":[12],"nature":[13],"of":[14,60,63,78],"framework":[18],"significantly":[19],"limits":[20],"its":[21],"ability":[22],"to":[23,46,82,130,165,187,196,227,236],"fully":[24],"utilize":[25],"real-world":[26],"computational":[27],"resources.":[28],"In":[29],"this":[30,98],"article,":[31],"we":[32,74,101,128,153],"propose":[33],"an":[34,124],"efficient":[35],"parallelizable":[36],"algorithm":[39,105,178,218],"via":[40],"multiobjective":[41],"acquisition":[42,80,167],"function":[43,168],"ensemble":[44],"(MACE)":[45],"further":[47,102],"accelerate":[48],"procedure.":[51],"By":[52,111],"sampling":[53,142],"query":[54],"points":[55],"from":[56],"Pareto":[58],"front":[59],"probability":[62],"improvement":[64,67],"(PI),":[65],"expected":[66],"(EI),":[68],"and":[69,89,119,138],"lower":[70],"confidence":[71],"bound":[72],"(LCB),":[73],"combine":[75],"benefits":[77],"state-of-the-art":[79],"functions":[81],"achieve":[83],"delicate":[85],"tradeoff":[86],"between":[87],"exploration":[88],"exploitation":[90],"unconstrained":[93,202],"problem.":[95,110],"Based":[96],"on":[97,122],"batch":[99,207,246],"design,":[100],"adjust":[103],"constrained":[108,213],"dividing":[112],"procedure":[115],"into":[116],"two":[117],"stages":[118],"first":[120,150],"focusing":[121],"finding":[123],"initial":[125],"feasible":[126,151,156],"point,":[127,152],"manage":[129],"gain":[131],"more":[132],"information":[133],"about":[134],"valid":[136],"region":[137,157],"can":[139,179,219],"better":[140],"avoid":[141],"around":[143],"infeasible":[145],"area.":[146],"After":[147],"achieving":[148],"favor":[154],"by":[158,185,225],"adopting":[159],"specially":[161],"designed":[162],"penalization":[163],"term":[164],"ensemble.":[169],"The":[170],"experimental":[171],"results":[172],"quantitatively":[173],"demonstrate":[174],"that":[175],"our":[176,216],"proposed":[177,217],"reduce":[180],"overall":[182],"simulation":[183],"time":[184],"up":[186,221,226],"<inline-formula":[188,228],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[189,229],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[190,230],"<tex-math":[191,231],"notation=\"LaTeX\">$74\\times":[192],"$":[193,233],"</tex-math></inline-formula>":[194,234],"compared":[195,235],"differential":[197],"evolution":[198],"(DE)":[199],"problem":[204],"when":[205,244],"size":[208,247],"15.":[210,249],"For":[211],"problem,":[215],"speed":[220],"process":[224],"notation=\"LaTeX\">$15\\times":[232],"weighted":[238],"EI-based":[239],"(WEIBO)":[242],"approach,":[243]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":48},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}