65-nm OTA Design Optimization Using Multi-Objective Genetic Algorithm

Document Type : Original Article

Authors

1 Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 63514, Egypt

2 NISC Research Center, Nile University, Cairo, Egypt

Abstract

This research paper examines the possible design optimization of analog circuits especially operational transconductance amplifier (OTA) using multi-objective genetic algorithm. All design criteria are developed and simplified and then used to run genetic algorithm on MATLAB. Final solutions located on the pareto front are examined to show various trad-offs between design parameters. A better more-advanced solution is also examined, where simulation software (CADENCE) is used to evaluate the individuals from each generation, and then results are fed to MATLAB to complete the algorithm. OCEAN script is used to perform simulations after netlist file is modified using results from MATLAB. Individuals are ranked based on their performance and high performing individuals are used in the next step. The best fitting solution is simulated using Cadence Virtuoso and all simulation figures are explained. The second approach is found to give better performance and meet the required objectives, this is due to the considering the device parameters' shift at different values for the circuit elements.

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