Journal of Research in Electrical Circuits and Systems ISSN: 3139-2059 (Online)

Authors: Dr. Anil K. Raj, Shreya P. Menon

Abstract: Electrical circuit optimization is critical for improving performance, minimizing power consumption, and enhancing reliability. Evolutionary algorithms (EAs) such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Differential Evolution (DE) have emerged as powerful tools for automated circuit design and optimization. This paper reviews EA-based optimization methods for analog, digital, and mixed-signal circuits. Key challenges, including multi-objective optimization, parameter constraints, and computational complexity, are addressed. Indian research contributions, case studies, and examples illustrate practical applications. Tables and 2D figures demonstrate optimization workflows, algorithm performance, and circuit-level implementations.

Keywords: Electrical circuit optimization, Evolutionary algorithms, Genetic algorithm, Particle swarm optimization, Differential evolution, Analog and digital circuits