title: Optimal nonmonotonic convergence of the iterative Fourier-transform algorithm.
abstract: The increase of the monotonic convergence rate is an important issue for iterative Fourier-transform algorithms. However, the steepest monotonic convergence of the iterative Fourier-transform algorithm does not always promise an optimal solution in the design of a diffractive optical element. The optimal nonmonotonic convergence of the iterative Fourier-transform algorithm is investigated by employing a microgenetic algorithm. The proposed hybrid scheme of the iterative Fourier-transform algorithm and the microgenetic algorithm show nonmonotonic convergence, and this results in a superior design.
authors.affiliation: School of Electrical Engineering, Seoul National University, Kwanak-Gu Shinlim-Dong, Seoul 151-744, South Korea.
authors.forename: Hwi
authors.initials: H
authors.lastname: Kim
authors.forename: Byoungho
authors.initials: B
authors.lastname: Lee