Design of symmetric switching CMOS inverter using PSOCFIWA
Bishnu Prasad De, Rajib Kar, Durbadal Mandal, S. P. Ghoshal · 2014
In this paper, symmetric switching characteristics of CMOS inverter are realized using an evolutionary optimization technique called Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach (PSO-CFIWA). PSO-CFIWA is an improved particle swarm optimization (PSO) that proposes a new definition for the velocity vector and swarm updating and hence the solution quality is improved. The performance of PSO-CFIWA is studied with the comparison of real coded genetic algorithm (RGA), a conventional PSO reported in the literature. PSO-CFIWA based design results have been compared also to those of the PSPICE results. The comparative simulation results show that the PSO-CFIWA is superior to other aforementioned evolutionary algorithms for the employed examples and can be efficiently used for CMOS inverter design.