Computational Intelligence in Analog Circuits Design

Authors:
Gabriel Oltean;Sorin Hintea;Emilia Sipos
Affiliations:
Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Technical University of Cluj-Napoca, Cluj-Napoca, Romania
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Year:
2008

Citing 5
Cited 0

Fuzzy-Logic-Based Analog Design Tools

IEEE Micro
Automatic Synthesis of CMOS Operational Amplifiers: A Fuzzy Optimization Approach

ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
Performance Modeling of Analog Integrated Circuits Using Least-Squares Support Vector Machines

Proceedings of the conference on Design, automation and test in Europe - Volume 1
Hierarchical bottom-up analog optimization methodology validated by a delta--sigma A/D converter design for the 802.11a/b/g standard

Proceedings of the 43rd annual Design Automation Conference
An Evolutionary Algorithm-Based Approach to Automated Design of Analog and RF Circuits Using Adaptive Normalized Cost Functions

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an optimization algorithm based on computational intelligence techniques, applied to the design of analog circuits. Our approach combines the best qualities of these techniques. Fuzzy sets assure the desired flexibility for the objective functions and a known range of objective function values. High accuracy and low computational complexity are simultaneously present in the neuro-fuzzy models of performances. A powerful global optimization engine is implemented by means of a genetic algorithm. Finally, the proposed algorithm is validated by the design optimization of a CMOS amplifier.