Optimal CMOS inverter design using differential evolution algorithm

The inverter is known to be the nucleus of all digital designs. Evolutionary computation may be a competent implement for automatic design of digital integrated circuits (IC). In this paper, optimal switching characteristics of a CMOS inverter are realized using an evolutionary optimization approach called differential evolution (DE) algorithm. The real coded genetic algorithm (RGA) and particle swarm optimization (PSO) have been adopted for the sake of comparison. DE based design results have been compared also with those of the PSPICE results. The comparative simulation results establish the DE as a more competent candidate to other aforementioned evolutionary algorithms in terms of accuracy and convergence speed.

Abstract licence: CC BY-NC-ND

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