Decomposition-Based Multi-Objective Optimization of Second-Generation Current Conveyors

被引：9

作者：

Guerra-Gomez, I. ^{[1
]}

Tlelo-Cuautle, E. ^{[1
]}

McConaghy, T.

Gielen, G. ^{[2
]}

机构：

[1] INAOE, Dept Elect, Luis Enrique Erro 1, Puebla 72840, Mexico

[2] Katholieke Univ Leuven, ESTA MICAS, B-3001 Heverlee, Belgium

来源：

2009 52ND IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2 | 2009年

关键词：

ALGORITHM;

D O I：

10.1109/MWSCAS.2009.5236112

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An optimization system which uses the multi-objective evolutionary algorithm based on decomposition (MOEA/D) is presented for sizing second generation current conveyors (CCIIs). The proposed optimization system uses HSPICE as circuit evaluator and its usefulness is highlighted by sizing two CCIIs, which are optimized in voltage and current modes in three parameters: gain, bandwidth and offset, and including as constraint that all transistors are in saturation operation.

引用

页码：220 / +

页数：2

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