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Summary: Case Studies in Automatic Design Optimisation using the P-BFGS Algorithm
David Abramson , Andrew Lewis §, Tom Peachey
School of Computer Science and § High Performance Computing Facility
Software Engineering Griffith University,
Monash University, Nathan, Qld, 4111, Australia
Clayton, Vic 3168, Australia
ABSTRACT
In this paper we consider a number of real world case
studies using an automatic design optimisation system
called Nimrod/O. The case studies include a photo-
chemical pollution model, two different simulations of the
strength of a mechanical part and the radio frequency
properties of a ceramic bead. In each case the system is
asked to minimise an objective function that results from
the execution of a time consuming computational model.
We compare the performance of an exhaustive search
technique with a new non-linear gradient descent algorithm
called P-BFGS. The exhaustive search results are produced
using enFuzion, a commercial version of the parametric
execution software Nimrod. P-BFGS is a parallel variant of
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