JOURNAL ARTICLE

Design optimization of analog integrated circuits using simulation-based genetic algorithm

Abstract

One of the most important facilities required in the synthesis of an advanced mixed-mode system is the efficient and if possible automated analog design tool. In this paper an accurate method to determine the device sizes in an analog integrated circuit on the basis of genetic algorithm (GA) is presented. In order to evaluate the fitness of the circuit specifications in any iteration of the GA, HSPICE simulation is used. Examples in both time and frequency domains for an operational transconductance amplifier are presented. The simulation results confirm the efficiency of GA in determining the device sizes in an analog circuit.

Keywords:
Computer science Analogue electronics Transconductance Genetic algorithm Operational amplifier Mixed-signal integrated circuit Electronic engineering Integrated circuit Electronic circuit Algorithm Operational transconductance amplifier Circuit design Electronic circuit simulation Amplifier Engineering CMOS Electrical engineering Transistor Voltage Embedded system

Metrics

40
Cited By
1.48
FWCI (Field Weighted Citation Impact)
9
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

VLSI and FPGA Design Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Evolutionary Algorithms and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Multi-Objective Optimization Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
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