%T Nonconvex continuous optimization experiments on a transputer system
%A  A. ter Laak,  L. O. Hertzberger,  P. M. A. Sloot
%E  Alastair R. Allen
%B Proceedings of WoTUG\-15: Transputer Systems \- ongoing Research
%X In this paper we investigate the functionality of various
   parallel implementations of Simulated Annealing on a
   transputer platform. The optimization problem to be solved
   is that of efficiently finding the global minimum in
   continuous spaces. Our work concentrates on the consequences
   of long\-range and short\-range interactions on algorithmic
   and geometric decomposition schemes. We introduce a mixed
   transputer topology to by\-pass some of the inherent time
   critical operations involved. We show that combining the
   Fast Simulated Annealing algorithm with a systolic
   decomposition strategy results in a highly efficient
   algorithm for continuous optimization problems. Experiments
   indicate that incorporation of functional decomposition of
   the energy function results in a near optimal
   implementation.