基于目标实现和“波前”顺序二次规划的模拟电路权衡设计

D. Mueller, H. Graeb, Ulf Schlichtmann
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引用次数: 26

摘要

模拟设计的主要任务之一是确定电路参数的大小,如晶体管的长度和宽度,以获得最佳的电路性能,如高增益或低功耗。在大多数情况下,一种性能只能以其他性能为代价进行优化,因此尺寸必须以重要电路性能之间的最佳权衡为目标。本文提出了一种新的确定性方法来计算给定电路拓扑的性能权衡的完整范围,即所谓的帕累托最优前沿。已知的确定性方法是求解一组相互独立的约束多目标优化问题。该方法同时最小化一组目标实现(GA)优化问题。在并行算法中,各个GA优化过程比较和交换它们的迭代解。这将显著提高模拟权衡设计的效率和质量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 sizing must aim at an optimal trade-off between the important circuit performances. This paper presents 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
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