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Details for article 11 of 12 found articles
| Title: |
Single Run Optimization of Discrete Event Simulations—An Empirical Study Using the M/M/l Queue |
| Author: |
Suri, Rajan Leung, Ying Tat |
| Appeared in: |
IIE transactions |
| Paging: | Volume 21 (1989) nr. 1 pages 35-49 |
| Year: |
1989-03-01 |
| Contents: |
Simulation modeling has been widely used to analyze complex stochastic systems, such as, to compute some performance measures of a modem manufacturing facility. Often, we are interested in optimizing these performance measures of the system wth respect to some controllable parameters. Traditional methods to find an optimum of a sirnulation model usually require making a number of simulation runs, which can be computationally intensive. This study proposes a stochastic optimization method to optimize a simulation model in a single simulation run, with the potential of large savings in computational effort. Two algorithms based on this method are developed and evaluated empirically using an M/M/l queue problem. Experimental results show that the algorithms, especially one of them, are promising and that this approach merits further investigation |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 11 of 12 found articles
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