Analog Circuit Sizing with Fuzzy Specifications: Addressing Soft Constraints

Chapter 4 introduces optimization problems with fuzzy constraints to integrate the humans’ flexibility and high optimization ability of evolutionary algorithms. Fuzzy sets, fuzzy constraint handling methods and the integration of fuzzy constraint handling methods into previous techniques are presented. The application field is fuzzy analog circuit sizing.

[1]  Francisco V. Fernández,et al.  Fuzzy selection based differential evolution algorithm for analog cell sizing capturing imprecise human intentions , 2009, 2009 IEEE Congress on Evolutionary Computation.

[2]  Leopoldo García Franquelo,et al.  Circuit performance modeling by means of fuzzy logic , 1996, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[3]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[4]  Guido Stehr,et al.  Analog Performance Space Exploration by Normal-Boundary Intersection and by Fourier–Motzkin Elimination , 2007, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[5]  Alberto L. Sangiovanni-Vincentelli,et al.  A methodology for system-level analog design space exploration , 2004, Proceedings Design, Automation and Test in Europe Conference and Exhibition.

[6]  Georges G. E. Gielen,et al.  Efficient multiobjective synthesis of analog circuits using hierarchical Pareto-optimal performance hypersurfaces , 2005, Design, Automation and Test in Europe.

[7]  Rob A. Rutenbar,et al.  Hierarchical Modeling, Optimization, and Synthesis for System-Level Analog and RF Designs , 2007, Proceedings of the IEEE.

[8]  Peng Gao,et al.  A fuzzy selection based constraint handling method for multi-objective optimization of analog cells , 2009, 2009 European Conference on Circuit Theory and Design.

[9]  Ulf Schlichtmann,et al.  Trade-Off Design of Analog Circuits using Goal Attainment and "Wave Front" Sequential Quadratic Programming , 2007, 2007 Design, Automation & Test in Europe Conference & Exhibition.

[10]  T. Ross Fuzzy Logic with Engineering Applications , 1994 .

[11]  Bozena Kaminska,et al.  FPAD: a fuzzy nonlinear programming approach to analog circuit design , 1995, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[12]  Georges G. E. Gielen,et al.  WATSON: design space boundary exploration and model generation for analog and RFIC design , 2003, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[13]  Biranchinath Sahu,et al.  Automatic synthesis of CMOS operational amplifiers: a fuzzy optimization approach , 2002, Proceedings of ASP-DAC/VLSI Design 2002. 7th Asia and South Pacific Design Automation Conference and 15h International Conference on VLSI Design.

[14]  Rainer Laur,et al.  Constrained Single-Objective Optimization Using Differential Evolution , 2006, 2006 IEEE International Conference on Evolutionary Computation.

[15]  K. Deb An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .

[16]  Costin Miron,et al.  A fuzzy optimization method for CMOS operational amplifier design , 2000, Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering. NEUREL 2000 (IEEE Cat. No.00EX287).

[17]  Antonio Torralba,et al.  FASY: a fuzzy-logic based tool for analog synthesis , 1996, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[18]  Francisco V. Fernández,et al.  Multimode Pareto fronts for design of reconfigurable analogue circuits , 2009 .

[19]  Rob A. Rutenbar,et al.  Generation of yield-aware Pareto surfaces for hierarchical circuit design space exploration , 2006, 2006 43rd ACM/IEEE Design Automation Conference.