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Using parallel and distributed computing to increase the capability of selection procedures

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1 Author(s)
Chen, E.J. ; BASF Corp., Rockaway, NJ

We present a framework for deploying selection procedures in a parallel and distributed environment to identify the stochastic systems with optimal expected response when the number of alternatives is large. The goal is to speed up the process of identifying a good design with a specified probability. We present a sequential selection procedure and discuss the validity of dividing the entire set of alternative designs into several groups that can be processed in a parallel and distributed fashion. The surviving designs from each group are then processed subsequently. An experimental evaluation demonstrates the validity and efficiency of the procedure

Published in:

Simulation Conference, 2005 Proceedings of the Winter

Date of Conference:

4-4 Dec. 2005