Share Email Print
cover

Proceedings Paper

A comparison of fitness function evaluation schedules for multi-objective univariate marginal distribution optimization of mixed analog-digital signal circuits
Author(s): Lyudmila Zinchenko; Matthias Radecker; Fabio Bisogno
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An increasing complexity of mixed analog-digital signal circuits requires optimization at higher hierarchical level. However, evolutionary optimization of mixed analog-digital signal circuits at the system level results in huge computational costs. A key to manage these computational complexities of evolutionary circuit design is an application of flexible fitness functions evaluation schedules. In this paper we compare the static, dynamic, and co-evolution fitness function evaluation schedules for multi-objective optimization of mixed analog-digital signal circuits at the system level on the base of the univariate marginal distribution algorithm. Experiments for our symmetry recognition circuit benchmark chosen indicate that the dynamic fitness function schedule is a good compromise between computational costs and optimization efficiency.

Paper Details

Date Published: 29 April 2008
PDF: 12 pages
Proc. SPIE 7025, Micro- and Nanoelectronics 2007, 70251P (29 April 2008); doi: 10.1117/12.802537
Show Author Affiliations
Lyudmila Zinchenko, FhG IAIS (Germany)
Matthias Radecker, FhG IAIS (Germany)
Fabio Bisogno, FhG IAIS (Germany)


Published in SPIE Proceedings Vol. 7025:
Micro- and Nanoelectronics 2007

© SPIE. Terms of Use
Back to Top