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  A Multi-Objective Optimisation Methodology Applied to the Synthesis of Low-Power Operational Amplifiers (1998) [7 citations — 3 self]

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by Ricardo S. Zebulum, Marley Vellasco
In I.J. Chueiri and C.A. dos Reis Filho, editors, Proc. XIII Int. Conf. on Microelectronics and Packaging, volume I
http://www.lania.mx/~ccoello/EMOO/zebulum98.ps.gz
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Abstract:

Abstract. This work studies the problem of CMOS operational amplifiers design optimisation. The synthesis of CMOS amplifiers can be translated into a multiple-objective optimisation task, in which a large number of specifications has to be taken into account, i.e., GBW, area, power consumption and others. We apply Genetic Algorithms [7] (GAs) to this problem; GAs are a computational optimisation technique which borrows some principles from biological evolution and have been widely applied to Computer Aided Design (CAD) of electronic circuits. A novel multi-objective optimisation methodology is embedded in our genetic algorithm and we focus mainly on the synthesis of micro-power analog cells. 1

Citations

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2 Evolutionary Algorithms in Computer Aided Design of Integrated Circuits – Esbensen, Dreschler - 1998
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1 Learning Heuristics by Evolutionary Algorithms with Variable Size Representation – Gockel, Dreschler, et al. - 1997
1 Design of Analog CMOS Building Blocks – Sansen
1 Notes on short term course Low-noise Analog CMOS BiCMOS Design", promoted by the – Sansen
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