{"id":"https://openalex.org/W4213119829","doi":"https://doi.org/10.1109/asp-dac52403.2022.9712601","title":"An Efficient Kriging-based Constrained Multi-objective Evolutionary Algorithm for Analog Circuit Synthesis via Self-adaptive Incremental Learning","display_name":"An Efficient Kriging-based Constrained Multi-objective Evolutionary Algorithm for Analog Circuit Synthesis via Self-adaptive Incremental Learning","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4213119829","doi":"https://doi.org/10.1109/asp-dac52403.2022.9712601"},"language":"en","primary_location":{"id":"doi:10.1109/asp-dac52403.2022.9712601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac52403.2022.9712601","pdf_url":null,"source":{"id":"https://openalex.org/S4363608500","display_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","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 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","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/A5037503207","display_name":"Sen Yin","orcid":"https://orcid.org/0000-0003-1723-5415"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Yin","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,China","School of Integrated Circuits, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101974276","display_name":"Wenfei Hu","orcid":"https://orcid.org/0000-0001-8206-3627"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfei Hu","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,China","School of Integrated Circuits, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339824","display_name":"Wenyuan Zhang","orcid":"https://orcid.org/0000-0001-5381-6706"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyuan Zhang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,China","School of Integrated Circuits, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005283679","display_name":"Ruitao Wang","orcid":"https://orcid.org/0000-0001-6054-5799"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruitao Wang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,China","School of Integrated Circuits, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042342029","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-6478-9192"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,China","School of Integrated Circuits, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065430171","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0003-2540-5824"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,China","School of Integrated Circuits, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5037503207"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.0376,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70379538,"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":"74","last_page":"79"},"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":0.9976999759674072,"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":0.9951000213623047,"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/kriging","display_name":"Kriging","score":0.8003901839256287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6263830661773682},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.5969036221504211},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5072798132896423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4746043086051941},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.4414674937725067},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4036329686641693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4006080627441406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26889175176620483}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.8003901839256287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6263830661773682},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.5969036221504211},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5072798132896423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4746043086051941},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.4414674937725067},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4036329686641693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4006080627441406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26889175176620483}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asp-dac52403.2022.9712601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac52403.2022.9712601","pdf_url":null,"source":{"id":"https://openalex.org/S4363608500","display_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","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 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W80222557","https://openalex.org/W1510052597","https://openalex.org/W1879678483","https://openalex.org/W1998752433","https://openalex.org/W2062973269","https://openalex.org/W2085507535","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2147059000","https://openalex.org/W2148688841","https://openalex.org/W2588897393","https://openalex.org/W2735015396","https://openalex.org/W2769791151","https://openalex.org/W2799969132","https://openalex.org/W2907667448","https://openalex.org/W2945689147","https://openalex.org/W2997143235","https://openalex.org/W2998431217","https://openalex.org/W3092618035","https://openalex.org/W3121642476","https://openalex.org/W3136946679","https://openalex.org/W4247680473","https://openalex.org/W4252419006","https://openalex.org/W6666241764","https://openalex.org/W6752368272","https://openalex.org/W6788648053"],"related_works":["https://openalex.org/W1968523686","https://openalex.org/W298893735","https://openalex.org/W2199291344","https://openalex.org/W2167342507","https://openalex.org/W4247222564","https://openalex.org/W864705961","https://openalex.org/W3199608561","https://openalex.org/W2366525864","https://openalex.org/W4382049207","https://openalex.org/W4385731244"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,90],"propose":[4],"an":[5],"efficient":[6],"Kriging-based":[7],"constrained":[8],"multi-objective":[9,142],"evolutionary":[10],"algorithm":[11],"for":[12],"analog":[13],"circuit":[14],"synthesis":[15],"via":[16],"self-adaptive":[17,74],"incremental":[18,21,75],"learning.":[19],"The":[20,55],"learning":[22,76],"technique":[23],"is":[24,49,78,117,128],"introduced":[25],"to":[26,40,80,98,104,178],"reduce":[27,81,109,148],"time":[28,62,84,123,151,160,188],"complexity":[29],"of":[30,52,85,112,124,152,184],"training":[31,53,83,150],"the":[32,50,59,69,82,86,100,110,121,125,140,149,158,172,185],"Kriging":[33,87,126,153],"model":[34,127,154],"from":[35],"<tex":[36,41,46],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[37,42,47],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$O(n^{3})$</tex>":[38],",":[39,44],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$O(n^{2})$</tex>":[43],"where":[45],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$n$</tex>":[48],"number":[51,111],"points.":[54],"proposed":[56,173],"approach":[57],"reduces":[58],"total":[60,186],"optimization":[61,165,187],"in":[63,182],"three":[64],"aspects.":[65],"First,":[66],"by":[67,155,161],"reusing":[68],"previously":[70],"trained":[71],"models,":[72],"a":[73],"strategy":[77],"applied":[79],"model.":[88],"Second,":[89],"use":[91],"non-dominated":[92],"sorting":[93],"and":[94,157,170],"modified":[95],"crowding":[96],"distance":[97],"prescreen":[99],"most":[101],"promising":[102],"one":[103],"be":[105],"simulated,":[106],"which":[107],"largely":[108],"simulations.":[113],"Third,":[114],"as":[115],"there":[116],"no":[118],"internal":[119],"optimization,":[120,144],"prediction":[122,159],"saved.":[129],"Experimental":[130],"results":[131],"on":[132],"two":[133],"real-world":[134],"circuits":[135],"demonstrate":[136],"that":[137],"compared":[138],"with":[139,168],"state-of-the-art":[141],"Bayesian":[143],"our":[145],"method":[146,174],"can":[147,175],"95%":[156],"99.7%":[162],"without":[163],"surrendering":[164],"results.":[166,192],"Compared":[167],"NSGA-II":[169],"MOEA/D,":[171],"achieve":[176],"up":[177,181],"10X":[179],"speed":[180],"terms":[183],"while":[189],"achieving":[190],"better":[191]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}