Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques

✍ Scribed by Manuel F. M. Barros, Jorge M. C. Guilherme, Nuno C. G. Horta (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2010
• Tongue: English
• Leaves: 247
• Series: Studies in Computational Intelligence 294
• Edition: 1
• Category: Library

✦ Synopsis

The microelectronics market trends present an ever-increasing level of complexity with special emphasis on the production of complex mixed-signal systems-on-chip. Strict economic and design pressures have driven the development of new methods to automate the analog design process. However, and despite some significant research efforts, the essential act of design at the transistor level is still performed by the trial and error interaction between the designer and the simulator.

This book presents a new design automation methodology based on a modified genetic algorithm kernel, in order to improve efficiency on the analog IC design cycle. The proposed approach combines a robust optimization with corner analysis, machine learning techniques and distributed processing capability able to deal with multi-objective and constrained optimization problems. The resulting optimization tool and the improvement in design productivity is demonstrated for the design of CMOS operational amplifiers.

✦ Table of Contents

Front Matter....Pages -
Introduction....Pages 1-18
State-of-the-Art on Analog Design Automation....Pages 19-47
Evolutionary Analog IC Design Optimization....Pages 49-88
Enhanced Techniques for Analog Circuits Design Using SVM Models....Pages 89-107
Analog IC Design Environment Architecture....Pages 109-137
Optimization of Analog Circuits and Systems - Applications....Pages 139-186
Conclusions....Pages 187-189
Back Matter....Pages -

✦ Subjects

Computational Intelligence; Electronics and Microelectronics, Instrumentation; Robotics and Automation