Please use this identifier to cite or link to this item:
|Title:||An improved simulation budget allocation procedure to efficiently select the optimal subset of many alternatives|
|Source:||Zhang, S.,Lee, L.H.,Chew, E.P.,Chen, C.-H.,Jen, H.-Y. (2012). An improved simulation budget allocation procedure to efficiently select the optimal subset of many alternatives. IEEE International Conference on Automation Science and Engineering : 230-236. ScholarBank@NUS Repository. https://doi.org/10.1109/CoASE.2012.6386330|
|Abstract:||How to maximize the probability of correctly selecting the top-m designs out of k designs under a computing budget constraint is crucial in simulation optimization. We develop a new procedure to be more efficient and robust than existing ones. The asymptotic convergence rate of this new procedure achieves higher convergence rate than others in correct selection probability for subset selection problems. Numerical experiments show that the new procedure obtains a higher probability of correctly selecting the optimal subset under the same computing budget. © 2012 IEEE.|
|Source Title:||IEEE International Conference on Automation Science and Engineering|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 17, 2018
checked on Jan 18, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.