A two-stage genetic algorithm method for optimization the ΣΔ modulators

Author

Zahabi, A. ; Shoaei, O. ; Koolivand, Y. ; Jabehdar-Maralani, P.

Author_Institution

Dept. of Electr. & Comput. Eng., Tehran Univ., Iran

Volume

2

fYear

2005

fDate

18-21 Jan. 2005

Firstpage

1212

Abstract

A two-stage optimization approach for the design of ΣΔ modulators using genetic algorithm has been proposed. The conversion speed and consumed CPU time of the design process have been reduced significantly by utilizing the combination of an equation-based and a high-level simulation-based genetic algorithm. The proper circuit specifications of the modulator are obtained by using a new idea called gene-dependent fitness function which takes some circuit-level non-idealities into account in the evaluation of the cost function. This significantly reduces the time-consuming circuit simulations and transient analysis.

Keywords

circuit simulation; genetic algorithms; high level synthesis; sigma-delta modulation; ΣΔ modulators; CPU time; circuit simulations; circuit specifications; conversion speed; cost function; design process; gene-dependent fitness function; genetic algorithm method; high-level simulation; transient analysis; Algorithm design and analysis; Analytical models; Circuit simulation; Computational modeling; Delta modulation; Design methodology; Equations; Genetic algorithms; MATLAB; Optimization methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Design Automation Conference, 2005. Proceedings of the ASP-DAC 2005. Asia and South Pacific

Print_ISBN

0-7803-8736-8

Type

conf

DOI

10.1109/ASPDAC.2005.1466560

Filename

1466560