LEADER 03640nam 22005895 450 001 9910299722803321 005 20200701145643.0 010 $a3-642-39162-1 024 7 $a10.1007/978-3-642-39162-0 035 $a(CKB)3710000000078639 035 $a(DE-He213)978-3-642-39162-0 035 $a(SSID)ssj0000987954 035 $a(PQKBManifestationID)11515595 035 $a(PQKBTitleCode)TC0000987954 035 $a(PQKBWorkID)10965706 035 $a(PQKB)11713536 035 $a(MiAaPQ)EBC3092062 035 $a(PPN)172427711 035 $a(EXLCZ)993710000000078639 100 $a20130816d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomated Design of Analog and High-frequency Circuits$b[electronic resource] $eA Computational Intelligence Approach /$fby Bo Liu, Georges Gielen, Francisco V. Fernández 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (XIII, 235 p. 99 illus.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v501 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-39161-3 320 $aIncludes bibliographical references. 327 $aBasic Concepts and Background -- Fundamentals of Optimization Techniques in Analog IC Sizing -- High-Performance Analog IC Sizing: Advanced Constraint Handling and Search Methods -- Analog Circuit Sizing with Fuzzy Specifications: Addressing Soft Constraints -- Process Variation-aware Analog Circuit Sizing: Uncertain Optimization -- Ordinal Optimization-based Methods for Efficient Variation-aware Analog IC Sizing -- Electromagnetic Design Automation: Surrogate Model Assisted Evolutionary Algorithm -- Passive Components Synthesis at High Frequencies: Handling Prediction Uncertainty -- mm-Wave Linear Amplifier Design Automation: A First Step to Complex Problems -- mm-Wave Nonlinear IC and Complex Antenna Synthesis: Handling High Dimensionality. 330 $aComputational intelligence techniques are becoming more and more important for automated problem solving nowadays. Due to the growing complexity of industrial applications and the increasingly tight time-to-market requirements, the time available for thorough problem analysis and development of tailored solution methods is decreasing. There is no doubt that this trend will continue in the foreseeable future. Hence, it is not surprising that robust and general automated problem solving methods with satisfactory performance are needed. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v501 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aLiu$b Bo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0592718 702 $aGielen$b Georges$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aFernández$b Francisco V$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299722803321 996 $aAutomated Design of Analog and High-frequency Circuits$92294327 997 $aUNINA