Abstract
We present a novel meta-model based optimization method for finding
the optimum set of system parameters of an optical
transmission system. Sampling points from the multidimensional parameter set
are selected sparsely by Latin hypercube design, and for these points the
signal quality at the receiver is evaluated by numerical simulations. Afterwards
an interpolation function of the results is generated, and an optimization
algorithm is carried out on this function to locate optima. Regions of interest
can be identified and analyzed more precisely by further numerical simulations,
which in turn improves the accuracy of the interpolation function. This iterative
approach allows to localize the optimum parameter region efficiently with
only a small fraction of the computational effort needed for a grid search.
© 2009 IEEE
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription