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Paper Details%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. |
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