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Digital Library of the
European Council for Modelling and Simulation |
Title: |
The Tyche And Safe Models: Comparing Two
Military Force Structure Analysis Simulations |
Authors: |
Cheryl Eisler, Slawomir Wesolkowski, Daniel T.
Wojtaszek |
Published in: |
(2014).ECMS 2014 Proceedings edited
by: Flaminio Squazzoni,
Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for
Modeling and Simulation. doi:10.7148/2014 ISBN:
978-0-9564944-8-1 28th
European Conference on Modelling and Simulation, Brescia,
Italy, May 27th – 30th,
2014 |
Citation
format: |
Cheryl
Eisler, Slawomir Wesolkowski, Daniel T. Wojtaszek
(2014). The Tyche And
Safe Models: Comparing Two Military Force Structure Analysis Simulations, ECMS
2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio,
Claudia Archetti, Marco Castellani European
Council for Modeling and Simulation. doi:10.7148/2014-0625 |
DOI: |
http://dx.doi.org/10.7148/2014-0625 |
Abstract: |
In the past, several force
structure analyses have been conducted for the Canadian Armed Forces using moderate
fidelity (e.g., Tyche) and low-fidelity (e.g. Stochastic
Fleet Estimation or SaFE) simulation models within
optimization frameworks. Monte Carlo discrete event simulations like Tyche are computationally expensive and can only be used
in optimizations that require few force structure evaluations. The SaFE model acts as a simple surrogate model that can be
utilized by more global optimization techniques. SaFE,
originally developed to study air mobility fleets, was adapted to accommodate
a larger set of capabilities and more scheduling heuristics so that the
performance of many force structures can be quickly assessed while minimizing
a set of objectives. The amount of time required to find the SaFE optimal force structures is significantly less than
using Tyche. This indicates that SaFE could be an important tool for discovering paretooptimal force structures (within the space of all
possible mixes) that would represent practical lower bounds on the force
structure requirements for accomplishing expected future scenarios. The
purpose of this paper is to compare and contrast the use of Tyche and SaFE through
simulation optimizations on a given dataset. |
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