A comparison of fitness function evaluation schedules for multi-objective univariate marginal distribution optimization of mixed analog-digital signal circuits

Lyudmila Zinchenko; Matthias Radecker; Fabio Bisogno

doi:10.1117/12.802537

29 April 2008 A comparison of fitness function evaluation schedules for multi-objective univariate marginal distribution optimization of mixed analog-digital signal circuits

Lyudmila Zinchenko, Matthias Radecker, Fabio Bisogno

Author Affiliations +

Proceedings Volume 7025, Micro- and Nanoelectronics 2007; 70251P (2008) https://doi.org/10.1117/12.802537
Event: Micro- and Nanoelectronics 2007, 2007, Zvenigorod, Russian Federation

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.

Citation Download Citation

Lyudmila Zinchenko, Matthias Radecker, and Fabio Bisogno "A comparison of fitness function evaluation schedules for multi-objective univariate marginal distribution optimization of mixed analog-digital signal circuits", Proc. SPIE 7025, Micro- and Nanoelectronics 2007, 70251P (29 April 2008); https://doi.org/10.1117/12.802537

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