Optimization of CMOS analog circuits using sine cosine algorithm

A metaheuristic search algorithm named Sine-Cosine Algorithm (SCA) is presented in this paper as a tool for optimally designing two of the most commonly used analog circuits, i.e., Complementary metal-oxide semiconductor (CMOS) differential amplifier circuit and two-stage CMOS operational amplifier circuit. The SCA algorithm starts the process by creating some initial random candidate solutions and utilizing sine-cosine functions based mathematical model for fluctuation of these solutions towards and outwards the best solution. Firstly, the transistor sizes of the above-said circuits are optimized using SCA so as to improve the design specifications of the circuit by instantaneously reducing the area occupied by the transistors in a circuit, using MATLAB. Then, the parameters obtained are validated using CADENCE. For this application, i.e., optimally designing analog circuits, the simulation results and convergence plots demonstrate the superiority of SCA over Particle Swarm Optimization (PSO) and a hybrid of Gravitational Search Algorithm and Particle Swarm Optimization Algorithm (GSAPSO).