The application of Genetic Algorithms in component parameters design

Abstract

This paper investigates the application of Genetic Algorithms (GAs) in component parameters design. From the perspective of profit per unit product, we have established the nonlinear programming model to determine the machine precision and product calibration value. After that, we solve the nonlinear programming model based on GAs, which can fix out the most appropriate component parameters to optimize the result. We conduct a comparative study between GAs and the enumeration method and give relevant analysis in the end of this paper.