New York: Institute of Electrical and Electronics Engineers (IEEE)
In this paper, we present a computational approach to the imaging of a partially immersed perfectly conducting cylinder by the steady-state genetic algorithm. A conducting cylinder of unknown shape scatters the incident transverse electric (TE) wave in free space while the scattered 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. An improved steady-state genetic algorithm is employed to search for the global extreme solution. Numerical results demonstrate that, even when the initial guess is far away from the exact one, good reconstruction can be obtained.