Title: Integrated AWA fitness PSO-SPICE framework for automated design and optimisation of analogue and mixed-signal ICs

Authors: Harsha Maddur Venkataswamy; B.P. Harish

Addresses: Department of Electronics and Communication Engineering, University of Visvesvaraya College of Engineering, Bengaluru, Karnataka, India ' Department of Electronics and Communication Engineering, University of Visvesvaraya College of Engineering, Bengaluru, Karnataka, India

Abstract: The design and optimisation of analogue and mixed-signal integrated circuits become intractable with technology scaling. It gives rise to multi-dimensional tradeoffs among its numerous performance metrics. Evolutionary algorithms are being explored to generate possible solutions having goodness of fit with the desired solution. In this direction, a novel fitness evaluation function integrated with PSO and PSO-SPICE framework is proposed to design and implement multi-objective optimisation for analogue and mixed-signal circuit design automation. The framework is demonstrated to automatically design and optimise the multi-objectives of 2-stage op-amp and 4-bit flash ADC. The proposed fitness evaluation function demonstrate large design outperformance independent of quality of initial population and requiring no adaptive weights. The novel fitness function driven PSO-SPICE framework exemplifies a robust, scalable, and precise method for multi-objective optimisation of analogue and mixed-signal circuits of varying scale and design complexity.

Keywords: particle swarm optimisation; PSO; 2-stage op-amp; flash ADC; multi-objective optimisation; AWA fitness function.

DOI: 10.1504/IJAISC.2024.139603

International Journal of Artificial Intelligence and Soft Computing, 2024 Vol.8 No.2, pp.87 - 108

Accepted: 14 Dec 2023
Published online: 04 Jul 2024 *

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