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    A comparative study of optimization algorithms for wavefront shaping

    , Article Journal of Innovative Optical Health Sciences ; Volume 12, Issue 4 , 2019 ; 17935458 (ISSN) Fayyaz, Z ; Mohammadian, N ; Rahimi Tabar, M. R ; Manwar, R ; Avanaki, K ; Sharif University of Technology
    World Scientific Publishing Co. Pte Ltd  2019
    Abstract
    By manipulating the phase map of a wavefront of light using a spatial light modulator, the scattered light can be sharply focused on a specific target. Several iterative optimization algorithms for obtaining the optimum phase map have been explored. However, there has not been a comparative study on the performance of these algorithms. In this paper, six optimization algorithms for wavefront shaping including continuous sequential, partitioning algorithm, transmission matrix estimation method, particle swarm optimization, genetic algorithm (GA), and simulated annealing (SA) are discussed and compared based on their efficiency when introduced with various measurement noise levels  

    An efficient SQUID NDE defect detection approach by using an adaptive finite-element modeling

    , Article Journal of Superconductivity and Novel Magnetism ; Volume 24, Issue 1-2 , 2011 , Pages 1077-1081 ; 15571939 (ISSN) Sarreshtedari, F ; Razmkhah, S ; Hosseini, N ; Jurgen Schubert ; Banzet, M ; Fardmanesh, M ; Sharif University of Technology
    Abstract
    Incorporating the finite-element method for the modeling of the SQUID NDE response to a predefined defect pattern, an adaptive algorithm has been developed for the reconstruction of unknown defects using an optimization algorithm for updating of the forward problem. The defect reconstruction algorithm starts with an initial estimation for the defect pattern. Then the forward problem is solved and the obtained field pattern is compared with the measured signal from the SQUID NDE system. The result is used by an optimization algorithm to update the defect structure to be incorporated in the FEM forward problem for the next iteration. Since the mentioned model based inverse algorithm normally...