Genetic algorithm in solving ill-posed equations of 2D electromagnetic imaging

In electromagnetic imaging, ill-posed equations are unavoidable, which are very difficult to solve. The Genetic Algorithm (GA) is a numerical-optimization method. This paper analyzes the GA method and advantages in solving illposed equations of electromagnetic imaging. Two numeric simulations are presented. One is using GA to solve an ill-posed linear equation, and the other is using GA in 2D microwave imaging. Results of numeric simulations show that GA is effective in solving ill-posed equations and it is able to obtain good image reconstruction.