Ren, Zhi Qian (2005) A dynamic simplex approach for optimization of real-time distributed multi-body simulations. Masters thesis, Concordia University.
- Accepted Version
This thesis presents a new approach for dynamic optimization of real-time distributed multi-body simulations. It continuously optimizes network communication for a given model partitioning. The optimization problem proposed is to minimize a network performance cost function using the recently developed dynamic simplex method (DSM). This iterative minimization approach requires a small number of function evaluations, no derivatives, and it can track a moving optimum in a stable manner. Furthermore, evidence indicates that the approach converges close to the optimal solution provided it doesn't vary too rapidly. Experimental investigations are performed on a time division multiple access (TDMA) computational network to validate the new approach.
|Divisions:||Concordia University > Faculty of Engineering and Computer Science > Mechanical and Industrial Engineering|
|Item Type:||Thesis (Masters)|
|Authors:||Ren, Zhi Qian|
|Pagination:||xii, 73 leaves : ill. ; 29 cm.|
|Degree Name:||M.A. Sc.|
|Program:||Mechanical and Industrial Engineering|
|Thesis Supervisor(s):||Gordon, Brandon|
|Deposited By:||Concordia University Libraries|
|Deposited On:||18 Aug 2011 18:31|
|Last Modified:||18 Aug 2011 18:31|
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