Image reconstruction of a two-dimensional periodic conductor by the genetic algorithm

The image reconstruction of a two-dimensional periodic conductor by the gen etic algorithm is investigated. A periodic conducting cylinder of unknown p eriodic length and shape scatters the incident wave in free space and the s cattered field is recorded outside. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimization problem. The genetic algorithm is then employed to find out the global extreme solution of the cost function. As a result, the periodic length and the shape of the conductor can be obtained. Numerical results are given to demonstrate that even in the presence of noise, good reconstruction has been obtained.