Abstract
The evolution of the semiconductor industry has enforced the growth in design automation sector of electronic circuits. The analog circuit design automation is not as mature as its digital counterpart owing to low level of abstraction and complexity. In this paper, a multiobjective hybrid of whale optimization algorithm (WOA) and modified grey wolf optimization (mGWO) algorithm is presented to design and optimize CMOS analog circuits. The combined properties of WOA and mGWO algorithms with enhanced exploration ability helps in improving the efficiency of the optimization process. The superiority of the multiobjective WOA-mGWO algorithm is demonstrated by comparing the simulation results with conventional algorithms. This algorithm is used to design two stage CMOS operational amplifier. The design parameters are optimized to obtain pareto fronts by satisfying the design constraints. The multiobjective optimization algorithm provides a freedom for the designer to chose from a varied set of results incorporating the tradeoffs in analog circuit design.
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