LEADER 04422nam 22006975 450 001 9910299692403321 005 20200630173457.0 010 $a3-319-15955-0 024 7 $a10.1007/978-3-319-15955-3 035 $a(CKB)3710000000359158 035 $a(EBL)1998186 035 $a(OCoLC)903929899 035 $a(SSID)ssj0001452072 035 $a(PQKBManifestationID)11890635 035 $a(PQKBTitleCode)TC0001452072 035 $a(PQKBWorkID)11478366 035 $a(PQKB)10154787 035 $a(DE-He213)978-3-319-15955-3 035 $a(MiAaPQ)EBC1998186 035 $a(PPN)184495431 035 $a(EXLCZ)993710000000359158 100 $a20150220d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing /$fby Ricardo Lourenço, Nuno Lourenço, Nuno Horta 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (71 p.) 225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3704 300 $aDescription based upon print version of record. 311 $a3-319-15954-2 320 $aIncludes bibliographical references. 327 $aIntroduction -- Previous works on automated analog IC sizing -- AIDA-CMK: AIDA-C with MOO framework -- Multi-objective framework implementation -- Kernel validation using CEC2009 benchmarks -- Results for analog IC design -- Conclusion and Future work. 330 $aThis work addresses the research and development of an innovative optimization kernel applied to analog integrated circuit (IC) design. Particularly, this works describes the modifications inside the AIDA Framework, an electronic design automation framework fully developed by at the Integrated Circuits Group-LX of the Instituto de Telecomunicações, Lisbon. It focusses on AIDA-CMK, by enhancing AIDA-C, which is the circuit optimizer component of AIDA, with a new multi-objective multi-constraint optimization module that constructs a base for multiple algorithm implementations. The proposed solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with NSGAII, a swarm intelligence approach with MOPSO and stochastic hill climbing approach with MOSA. Moreover, the implemented structure allows the easy hybridization between kernels transforming the previous simple NSGAII optimization module into a more evolved and versatile module supporting multiple single and multi-kernel algorithms.The three multi-objective optimization approaches were validated with CEC2009 benchmarks to constrained multi-objective optimization and tested with real analog IC design problems. The achieved results were compared in terms of performance, using statistical results obtained from multiple independent runs. Finally, some hybrid approaches were also experimented, giving a foretaste to a wide range of opportunities to explore in future work. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3704 606 $aElectronic circuits 606 $aComputer-aided engineering 606 $aComputational intelligence 606 $aCircuits and Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/T24068 606 $aComputer-Aided Engineering (CAD, CAE) and Design$3https://scigraph.springernature.com/ontologies/product-market-codes/I23044 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 615 0$aElectronic circuits. 615 0$aComputer-aided engineering. 615 0$aComputational intelligence. 615 14$aCircuits and Systems. 615 24$aComputer-Aided Engineering (CAD, CAE) and Design. 615 24$aComputational Intelligence. 676 $a519.6 700 $aLourenço$b Ricardo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720940 702 $aLourenço$b Nuno$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHorta$b Nuno$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299692403321 996 $aAIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing$92531497 997 $aUNINA