Table of Contents
Advances in Electrical Engineering
Volume 2014 (2014), Article ID 374741, 5 pages
Research Article

Multiobjective Genetic Algorithms Program for the Optimization of an OTA for Front-End Electronics

1Division Microelectronique et Nanotechnologie, Centre de Développement des Technologies Avancées (CDTA), Cité é20 Août 1956, 16000 Algiers, Algeria
2OMEGA Micro, Microelectronics Design Center, Polytechnic School, LLR Aile 4, 91128 Palaiseau Cedex, France
3Laboratoire de l’Accélérateur Linéaire (LAL), Centre Scientifique d’Orsay, Université de Paris Sud XI, Bat 200, BP 34, 91898 Orsay Cedex, France

Received 30 April 2014; Revised 7 July 2014; Accepted 8 July 2014; Published 13 August 2014

Academic Editor: Changhwan Shin

Copyright © 2014 Abdelghani Dendouga et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The design of an interface to a specific sensor induces costs and design time mainly related to the analog part. So to reduce these costs, it should have been standardized like digital electronics. The aim of the present work is the elaboration of a method based on multiobjectives genetic algorithms (MOGAs) to allow automated synthesis of analog and mixed systems. This proposed methodology is used to find the optimal dimensional transistor parameters (length and width) in order to obtain operational amplifier performances for analog and mixed CMOS-(complementary metal oxide semiconductor-) based circuit applications. Six performances are considered in this study, direct current (DC) gain, unity-gain bandwidth (GBW), phase margin (PM), power consumption (P), area (A), and slew rate (SR). We used the Matlab optimization toolbox to implement the program. Also, by using variables obtained from genetic algorithms, the operational transconductance amplifier (OTA) is simulated by using Cadence Virtuoso Spectre circuit simulator in standard TSMC (Taiwan Semiconductor Manufacturing Company) RF 0.18 μm CMOS technology. A good agreement is observed between the program optimization and electric simulation.