Forthcoming and Online First Articles

International Journal of Artificial Intelligence and Soft Computing

International Journal of Artificial Intelligence and Soft Computing (IJAISC)

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International Journal of Artificial Intelligence and Soft Computing (1 paper in press)

Regular Issues

  • Integrated AWA Fitness PSO-SPICE Framework for Automated Design and Optimization of Analog and Mixed-Signal ICs   Order a copy of this article
    by Harsha M. V., B.P. Harish 
    Abstract: The design and optimization of analog 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 optimization for analog and mixed-signal circuit design automation. The framework is demonstrated to automatically design and optimize the multi-objectives of 2-stage op-amp and 4-bit ash 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 optimization of analog and mixed-signal circuits of varying scale and design complexity.
    Keywords: PSO; 2-stage op-amp; Flash ADC; Multi-objective optimization; AWA fitness function.