Design of symmetric switching CMOS inverter using cuckoo search algorithm

In this paper, an efficient design of a complimentary metal-oxide semiconductor (CMOS) inverter with symmetric switching characteristics is realized using a cuckoo search algorithm (CSA). CSA is an optimization algorithm which is inspired by the brood parasitic behaviour of cuckoos. The performance of the proposed CMOS inverter design using CSA is compared with particle swarm optimization algorithm (PSO) and other published techniques such as real coded genetic algorithm (RGA) and particle swarm optimization with constriction factor and inertia weight approach (PSO-CFIWA). The simulation results demonstrate that CSA is superior to PSO, RGA and PSO-CFIWA for the designing of CMOS inverter.

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