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Case Studies in Automatic Design Optimisation using the P-BFGS Algorithm David Abramson , Andrew Lewis , Tom Peachey
 

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

  

Source: Abramson, David - Caulfield School of Information Technology, Monash University

 

Collections: Computer Technologies and Information Sciences