DocumentCode :
1572766
Title :
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
Link To Document :
بازگشت