Multi-Objective Optimization Tool for a Free Structure Analog Circuits Design using Genetic Algorithms and Incorporating Parasitics

 Y.M.A. Khalifa

Electrical and Computer Engineering Department, State University of New York at New Paltz, 1 Hawk Drive, New Paltz, NY 12561, USA

Abstract:

This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calculations as a polynomial approximation for the design is not available. A further problem is the effect of parasitic elements on the resulting circuit’s performance. In a single design stage, circuits are produced that satisfy a specific frequency response specifications using circuit structures that are unrestricted and with component values that are chosen from a set of preferred values including their parasitic effects. The sensitivity to component variations for the resulting designs is performed using a novel technique and is incorporated in the fitness evaluation function. The extra degrees of freedom resulting form unbounded circuit structures create a huge search space. The application chosen is a LC all pass ladder filter circuit design.

Keywords: Analog Circuits, Parasitics, Genetic Algorithms, Optimization.Biography

Yaser M.A. Khalifa has received his BSc degree from Alexandria University, Egypt, and his PhD degree from Cardiff University of Wales, United Kingdom, in 1992 and 1997 respectively. Dr Khalifa is currently an assistant professor at the Department of Electrical and Computer Engineering at the State University of New York at New Paltz, USA. Dr. Khalifa’s primary research interest is in the application of evolutionary algorithms in the design of analog and digital circuits.

Bibliography:

@ARTICLE{PDCS0708001,

AUTHOR = {Yaser M.A. Khalifa},

TITLE = {Multi-Objective Optimization Tool for a Free Structure Analog Circuits Design using Genetic Algorithms and Incorporating Parasitics},

}

(PDCS0708001 545 KB)