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Advances in analytics: Integrating dynamic data mining with simulation optimization

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3 Author(s)
M. Better ; OptTek Systems, Inc., 1919 Seventh Street, Boulder, Colorado 80302, USA ; F. Glover ; M. Laguna

We introduce a simulation optimization approach that is effective in guiding the search for optimal values of input parameters to a simulation model. Our proposed approach, which includes enhanced data mining methodology and state-of-the-art optimization technology, is applicable to settings in which a large amount of data must be analyzed in order to discover relevant relationships. Our approach makes use of optimization technology not only for data mining but also for optimizing the underlying simulation model itself. A market research application embodying agent-based simulation is used to illustrate our proposed approach.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:51 ,  Issue: 3.4 )