Multi-objective Optimization of Two-Layer Microbeam used for Sensing of Viruses by Genetic Algorithm

In this paper, new optimizations of the two-layer microbeams based on the classical and non-classical theory are presented. In the first step, the natural frequency is obtained based on the modified couple stress theories. Afterwards, three important functions of the microbeams which are used as microsensors, sensitivity, quality factor, and maximum stress are defined. In the subsequent stage, two and three objective optimizations are carried out by using the genetic algorithm. At the two-objective optimization, sensitivity and quality factor are selected as objective functions. At the three objective optimizations, the maximum stress adds to the objective functions. The geometric parameters are design variables and there are some constraints and limits for those. The results are presented based on the classical and non-classical theory and optimal points are obtained for each optimization by using MATLAB.