{"id":"https://openalex.org/W2332303085","doi":"https://doi.org/10.1109/icaci.2016.7449806","title":"Circuit tolerance design by differential evolution with hybrid analysis method","display_name":"Circuit tolerance design by differential evolution with hybrid analysis method","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2332303085","doi":"https://doi.org/10.1109/icaci.2016.7449806","mag":"2332303085"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2016.7449806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2016.7449806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","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/A5029193539","display_name":"Fugui Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fugui Zhong","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems University of Science and Technology of China Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems University of Science and Technology of China Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365139","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-0827-7018"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI) University of Science and Technology of China Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI) University of Science and Technology of China Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048049588","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0001-9899-8961"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI) University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI) University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01822281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"74","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9987999796867371,"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":0.9987999796867371,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9970999956130981,"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":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tolerance-analysis","display_name":"Tolerance analysis","score":0.7348613739013672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6174056529998779},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6054589748382568},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5813304781913757},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.5163534879684448},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4529886543750763},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4288892149925232},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4188210964202881},{"id":"https://openalex.org/keywords/circuit-design","display_name":"Circuit design","score":0.41706162691116333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4038386940956116},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37829673290252686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21729212999343872},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19329306483268738},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15527525544166565},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09883397817611694},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07862496376037598}],"concepts":[{"id":"https://openalex.org/C2780080018","wikidata":"https://www.wikidata.org/wiki/Q2439233","display_name":"Tolerance analysis","level":2,"score":0.7348613739013672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6174056529998779},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6054589748382568},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5813304781913757},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.5163534879684448},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4529886543750763},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4288892149925232},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4188210964202881},{"id":"https://openalex.org/C190560348","wikidata":"https://www.wikidata.org/wiki/Q3245116","display_name":"Circuit design","level":2,"score":0.41706162691116333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4038386940956116},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37829673290252686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21729212999343872},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19329306483268738},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15527525544166565},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09883397817611694},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07862496376037598},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2016.7449806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2016.7449806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","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":18,"referenced_works":["https://openalex.org/W147475332","https://openalex.org/W1541759836","https://openalex.org/W1923405469","https://openalex.org/W2004200975","https://openalex.org/W2012451526","https://openalex.org/W2095646370","https://openalex.org/W2096728620","https://openalex.org/W2102565312","https://openalex.org/W2108204703","https://openalex.org/W2114734140","https://openalex.org/W2126639080","https://openalex.org/W2143802986","https://openalex.org/W2156194072","https://openalex.org/W2156268697","https://openalex.org/W2159254831","https://openalex.org/W2172123331","https://openalex.org/W3149202397","https://openalex.org/W6663221386"],"related_works":["https://openalex.org/W2102774465","https://openalex.org/W2373966262","https://openalex.org/W2091902280","https://openalex.org/W4245910548","https://openalex.org/W2365459611","https://openalex.org/W1970528334","https://openalex.org/W2905124728","https://openalex.org/W2162581383","https://openalex.org/W1556171578","https://openalex.org/W2058364437"],"abstract_inverted_index":{"With":[0],"the":[1,26,37,76,84,103,106,109,114,120,123,126,129,134,138,144,156,164],"continued":[2],"scaling":[3],"down":[4],"of":[5,49,67,87,105,113,122,128,160],"electronic":[6],"device":[7],"dimensions,":[8],"circuit":[9,39,54,165],"design":[10,41],"under":[11],"parameter":[12],"variations":[13],"has":[14],"received":[15],"increasing":[16],"interests.":[17],"In":[18],"this":[19],"paper,":[20],"a":[21,94],"new":[22],"method":[23,32,46,140],"that":[24],"combine":[25],"differential":[27,68],"evolution":[28,69],"with":[29],"hybrid":[30,44],"analysis":[31,45,56,59,74,97,136],"is":[33,47,70,99],"presented":[34],"to":[35,101,118,143],"solve":[36],"worst-case":[38,53],"tolerance":[40,55,166],"problem.":[42],"The":[43,64,152],"comprised":[48],"two":[50,135],"commonly":[51],"used":[52],"approaches,":[57],"vertex":[58,73],"and":[60,158],"Monte":[61,91],"Carlo":[62,92],"analysis.":[63],"search":[65],"direction":[66],"leaded":[71],"by":[72],"at":[75,108,125],"first":[77],"stage,":[78],"through":[79],"which":[80],"we":[81],"can":[82,141],"reduce":[83],"computational":[85],"complexity":[86],"fitness":[88],"calculation":[89],"dramatically.":[90],"analysis,":[93],"higher":[95],"accuracy":[96],"method,":[98],"applied":[100],"ensure":[102],"quality":[104],"solutions":[107,149],"second":[110,130],"stage.":[111,131],"Some":[112],"individuals":[115],"are":[116],"reinitialized":[117],"enhance":[119],"diversity":[121],"population":[124],"beginning":[127],"By":[132],"cooperating":[133],"methods,":[137],"proposed":[139,161],"converge":[142],"global":[145],"optimum":[146],"or":[147],"near-optimum":[148],"more":[150],"quickly.":[151],"experiment":[153],"results":[154],"show":[155],"effectiveness":[157],"efficiency":[159],"techniques":[162],"for":[163],"design.":[167]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
