Enhancing analog IC design optimization kernels with simple fuzzy models

Author

Sousa, Pedro ; Duarte, Carla ; Barros, Manuel ; Guilherme, Jorge ; Horta, Nuno

Author_Institution

Integrated Circuit & Syst. Group, Inst. de Telecomun., Lisbon, Portugal

fYear

2009

Firstpage

775

Lastpage

778

Abstract

This paper addresses the analog integrated circuit design automation by proposing an innovative circuit-level optimization kernel. The proposed approach, first, models analog design knowledge using soft computing techniques, than, enhances a stochastic optimization kernel by embedding the design knowledge model. The proposed approach uses common IC design environments and is validated for well known design examples.

Keywords

analogue integrated circuits; circuit optimisation; electronic engineering computing; fuzzy reasoning; genetic algorithms; integrated circuit design; stochastic processes; analog IC design optimization kernels; analog design knowledge; analog integrated circuit design automation; embedded design knowledge model; fuzzy inference algorithm; fuzzy-genetic algorithm; simple fuzzy models; soft computing techniques; stochastic optimization kernel; Algorithm design and analysis; Analog integrated circuits; Design automation; Design optimization; Evolutionary computation; Fuzzy systems; Genetic algorithms; Genetic mutations; Integrated circuit modeling; Kernel;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuit Theory and Design, 2009. ECCTD 2009. European Conference on

Conference_Location

Antalya

Print_ISBN

978-1-4244-3896-9

Electronic_ISBN

978-1-4244-3896-9

Type

conf

DOI

10.1109/ECCTD.2009.5275099

Filename

5275099