Image reconstruction of multiple conductors

The genetic algorithm is used to reconstruct the shapes of multiple perfect ly conducting cylinders. Based on the boundary condition and the measured s cattered field, a set of nonlinear integral equations is derived and the im aging problem is reformulated into an optimization problem. The genetic alg orithm is then employed to find out the global extreme solution of the obje ct function. Numerical examples are given to demonstrate the capability of the inverse algorithm. Good reconstruction is obtained even when the multip le scattering between two conductors is serious. In addition, the effect of Gaussian noise on the reconstruction results: is investigated.