Modeling Abstraction and Simulation Techniques

Abstract

Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. 12b. DISTRIBUTION CODE ABSTRACT (Maximum 200 Words)This final report contains the joint work of both University of Massachusetts and Boston University who were each funded under separate contracts. The objective of this effort has been to develop and study three novel complementary directions that may be summarized as follows: 1. Extract information from the inherently slow simulation process of complex systems by exploiting new concurrent simulation techniques. 2. Exploit the hierarchical structure in multi-resolution models by decomposing them in ways which preserve statistical fidelity. 3. Explore the use of neural networks as complex simulation metamodels. The scope of the project has been to develop specific methodologies and algorithms based on the proposed new techniques that were developed and tested. In many cases, The benchmark problems studied are the same or extensions of the ones developed during our previous projects