Integrated AWA fitness PSO-SPICE framework for automated design and optimisation of analogue and mixed-signal ICs
by Harsha Maddur Venkataswamy; B.P. Harish
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 8, No. 2, 2024

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.

Online publication date: Thu, 04-Jul-2024

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