{"id":"https://openalex.org/W1512779070","doi":"https://doi.org/10.1109/esscir.2005.1541605","title":"CAFFEINE: template-free symbolic model generation of analog circuits via canonical form functions and genetic programming","display_name":"CAFFEINE: template-free symbolic model generation of analog circuits via canonical form functions and genetic programming","publication_year":2005,"publication_date":"2005-12-10","ids":{"openalex":"https://openalex.org/W1512779070","doi":"https://doi.org/10.1109/esscir.2005.1541605","mag":"1512779070"},"language":"en","primary_location":{"id":"doi:10.1109/esscir.2005.1541605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/esscir.2005.1541605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st European Solid-State Circuits Conference, 2005. ESSCIRC 2005.","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/A5050441975","display_name":"Trent McConaghy","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"T. McConaghy","raw_affiliation_strings":["K.U. Leuven, ESAT-MICAS, K.U. Leuven, Leuven, Belgium","ESAT-MICAS, Katholieke Univ., Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K.U. Leuven, ESAT-MICAS, K.U. Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-MICAS, Katholieke Univ., Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046756864","display_name":"Tom Eeckelaert","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"T. Eeckelaert","raw_affiliation_strings":["K.U. Leuven, ESAT-MICAS, K.U. Leuven, Leuven, Belgium","ESAT-MICAS, Katholieke Univ., Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K.U. Leuven, ESAT-MICAS, K.U. Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-MICAS, Katholieke Univ., Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029270525","display_name":"Georges Gielen","orcid":"https://orcid.org/0000-0002-4061-9428"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"G. Gielen","raw_affiliation_strings":["K.U. Leuven, ESAT-MICAS, K.U. Leuven, Leuven, Belgium","ESAT-MICAS, Katholieke Univ., Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K.U. Leuven, ESAT-MICAS, K.U. Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-MICAS, Katholieke Univ., Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"243","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9995999932289124,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/computer-science","display_name":"Computer science","score":0.6386187076568604},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6311275362968445},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.47638386487960815},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3525528311729431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22165295481681824},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11536148190498352},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10768914222717285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6386187076568604},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6311275362968445},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.47638386487960815},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3525528311729431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22165295481681824},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11536148190498352},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10768914222717285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/esscir.2005.1541605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/esscir.2005.1541605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st European Solid-State Circuits Conference, 2005. ESSCIRC 2005.","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":13,"referenced_works":["https://openalex.org/W1570294102","https://openalex.org/W1952815591","https://openalex.org/W2007449126","https://openalex.org/W2100882222","https://openalex.org/W2118158907","https://openalex.org/W2138908842","https://openalex.org/W2161359911","https://openalex.org/W2165666706","https://openalex.org/W2167159964","https://openalex.org/W4244194021","https://openalex.org/W4247282788","https://openalex.org/W4252378425","https://openalex.org/W6684212943"],"related_works":["https://openalex.org/W2039071024","https://openalex.org/W1970957223","https://openalex.org/W1601487027","https://openalex.org/W2314541552","https://openalex.org/W2392953011","https://openalex.org/W2021042811","https://openalex.org/W1871475835","https://openalex.org/W2604289690","https://openalex.org/W2119625504","https://openalex.org/W2115391502"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,46,66,74,82],"method":[4,107],"to":[5,61,65,101],"automatically":[6],"generate":[7],"compact":[8,98],"symbolic":[9,54,77,94],"performance":[10],"models":[11,78,95,115],"of":[12,19,34,48,52,76],"analog":[13,112],"circuits":[14,37],"with":[15],"no":[16],"prior":[17],"specification":[18],"an":[20,105],"equation":[21],"template.":[22],"The":[23,71,114],"approach":[24,72],"takes":[25],"SPICE":[26],"simulation":[27],"data":[28],"as":[29,45],"input,":[30],"which":[31],"enables":[32],"modeling":[33],"any":[35],"nonlinear":[36],"and":[38,86,99],"circuit":[39],"characteristics.":[40],"Genetic":[41],"programming":[42],"is":[43,58],"applied":[44],"means":[47],"traversing":[49],"the":[50,63,93],"space":[51],"possible":[53],"expressions.":[55],"A":[56],"grammar":[57],"specially":[59],"designed":[60],"constrain":[62],"search":[64],"canonical":[67],"form":[68],"for":[69,108],"functions.":[70],"generates":[73],"set":[75],"that":[79,92],"collectively":[80],"provide":[81],"tradeoff":[83],"between":[84],"error":[85],"model":[87],"complexity.":[88],"Experimental":[89],"results":[90],"show":[91],"generated":[96],"ar":[97],"easy":[100],"understand,":[102],"making":[103],"this":[104],"effective":[106],"aiding":[109],"understanding":[110],"in":[111],"design.":[113],"also":[116],"demonstrate":[117],"better":[118],"prediction":[119],"quality":[120],"than":[121],"polynomials.":[122]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
