Trade-off design of analog circuits using goal attainment and "Wave Front" sequential quadratic programming

One of the main tasks in analog design is the sizing of the circuit parameters, such as transistor lengths and widths, in order to obtain optimal circuit performances, such as high gain or low power consumption. In most cases one performance can only be optimized at cost of others, therefore a sizin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Proceedings of the conference on Design, automation and test in Europe S. 75 - 80
Hauptverfasser: Mueller, Daniel, Graeb, Helmut, Schlichtmann, Ulf
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: San Jose, CA, USA EDA Consortium 16.04.2007
Schriftenreihe:ACM Conferences
Schlagworte:
Information systems
Information systems > Data management systems
Information systems > Data management systems > Database administration
Information systems > Data management systems > Database administration > Data dictionaries
Theory of computation
Theory of computation > Design and analysis of algorithms
Theory of computation > Design and analysis of algorithms > Mathematical optimization
ISBN:3981080122, 9783981080124
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:One of the main tasks in analog design is the sizing of the circuit parameters, such as transistor lengths and widths, in order to obtain optimal circuit performances, such as high gain or low power consumption. In most cases one performance can only be optimized at cost of others, therefore a sizing must aim at an optimal trade-off between the important circuit performances. In this paper we present a new deterministic method to calculate the complete range of performance trade-offs, the so-called Pareto-optimal front, of a given circuit topology. Known deterministic methods solve a set of constrained multi-objective optimization problems independently of each other. The presented method minimizes a set of Goal Attainment (GA) optimization problems simultaneously. In a parallel algorithm, the individual GA optimization processes compare and exchange their iterative solutions. This leads to a significant improvement in the efficiency and quality of analog trade-off design.
ISBN:3981080122
9783981080124
DOI:10.5555/1266366.1266385