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Optimizing CMOS Inverter Characteristics With Evolutionary Algorithm Strategies
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Author(s): Paramita Sarkar (BMS Institute of Technology and Management, India), Harish Sharma Akkera (BMS Institute of Technology and Management, India), Sabina Rahaman (BMS Institute of Technology and Management, India), Neeraj Kumar Niranjan (Microchip Technology Incorporated, India)and Swagata Devi (Assam Down Town University, India)
Copyright: 2025
Pages: 28
Source title:
Exploring the Intricacies of Digital and Analog VLSI
Source Author(s)/Editor(s): Koushik Guha (National Institute of Technology, Silchar, India), Jyoti Kandpal (Graphic Era Hill University, Dehradun, India)and Swagata Devi (Faculty of Engineering, Assam Down Town University, India)
DOI: 10.4018/979-8-3693-8084-0.ch006
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Abstract
This work uses the Dragonfly Algorithm (DA) and Drosophila Food Search Optimization (DFO) to enhance the switching characteristics of CMOS technology. Inspired by the food-search behavior of Drosophila Melanogaster and Dragonflies, both algorithms optimize single- and multi-objective problems and are compared with Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO). The study focuses on identifying optimal design variables for a CMOS inverter with symmetric switching. DA and DFO were further tested on a differential amplifier with a current mirror load, demonstrating their effectiveness in more complex circuits. The solutions were verified using SYNOPSYS HSPICE with UMC 180nm process technology, highlighting differences between algorithmic and simulation results. While all algorithms showed quick convergence, DA outperformed DFO and PSO in meeting design objectives, providing the most optimal solution for the circuit design.
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