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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Branke, J. Chick, S.E. Schmidt, C. |
| Copyright Year | 2005 |
| Description | Author affiliation: Inst. AIFB, Univ. Karlsruhe, Germany (Branke, J.) |
| Abstract | Selection procedures are used in many applications to select the best of a finite set of alternatives, as in discrete optimization with simulation. There are a wide variety of procedures, which begs the question of which selection procedure to select. This paper (a) summarizes the main structural approaches to deriving selection procedures, (b) describes an innovative empirical testbed, and (c) summarizes results from work in progress that provides the most exhaustive assessment of selection procedures to date. The most efficient and easiest to control procedures allocate samples with a Bayesian model for uncertainty about the means, and use a new expected opportunity cost-based stopping rule. |
| File Size | 340581 |
| File Format | |
| ISBN | 0780395190 |
| DOI | 10.1109/WSC.2005.1574312 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Testing Sampling methods Bayesian methods Robust control Technology management Uncertainty Evolutionary computation Computational modeling Cost function Performance evaluation |
| Content Type | Text |
| Resource Type | Article |
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