Use of a genetic algorithm with a penalty strategy to optimize optical communication window mesh

Abstract

A constrained nonlinear programming model was extracted from an optimum design of optical communication window mesh with optical transmittance chosen as the objective function, and a shielding effectiveness requirement as the nonlinear constraint. The globally optimized solution of the constrained nonlinear programming model was solved using a genetic algorithm with a penalty strategy. The globally optimized design was then verified by comparing the measurements of window mesh samples with the optimized values. The experimental results and optimized tracing figures of the genetic algorithm indicate that the presented optimization method based on the genetic algorithm is accurate and efficient. Therefore, it can be concluded that a genetic algorithm can be used to optimize optical communication window mesh.