Title :
Efficient Simulation Resource Sharing and Allocation for Selecting the Best
Author :
Yijie Peng ; Chun-Hung Chen ; Fu, Michael C. ; Jian-Qiang Hu
Author_Institution :
Dept. of Manage. Sci., Fudan Univ., Shanghai, China
Abstract :
Common random numbers and the standard clock method are examples of effective variance reduction techniques that also share information and simulation resources when generating realizations of different simulated systems whose performances are being compared. This sharing of computing resources and the potentially widely different computational requirements for different simulation models are important considerations in allocating simulation replications among the candidate designs with the objective of maximizing the probability of selecting the best design, and we formulate the optimal computing budget allocation problem under this scenario. The resulting formulation leads to an optimization problem that can be viewed as a generalization of a correlated version considered in earlier work. An approximation to the problem is introduced to allow a tractable solution, for which a heuristic two-stage sequential allocation algorithm is proposed, and several numerical examples are used to illustrate the potential improvements that can be gained.
Keywords :
information resources; numerical analysis; probability; resource allocation; common random numbers; computing resources; different simulation models; heuristic two-stage sequential allocation algorithm; information resources; numerical examples; optimal computing budget allocation problem; optimization problem; potentially widely different computational requirements; probability; simulated systems; simulation replications; simulation resource allocation; simulation resource sharing; simulation resources; standard clock method; variance reduction techniques; Algorithm design and analysis; Approximation algorithms; Approximation methods; Computational modeling; Correlation; Nickel; Resource management; Computing budget sharing; multiple-comparison procedures; optimal sampling schemes; simulation budget allocation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2012.2215533