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Optimal computing budget allocation

Optimal computing budget allocation (OCBA) is a concept first introduced in the mid 1990s by Dr. Chun-Hung Chen. This approach intends to maximize… Expand
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Papers overview

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2017
2017
Abstract In this paper, we consider the ranking and selection (R&S) problem with input uncertainty. It seeks to maximize the… Expand
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2014
2014
Previous research in ranking and selection focused on selecting the best design and subset selection. Little research has been… Expand
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2012
2012
In this paper, we develop an optimal computing budget allocation (OCBA) algorithm for selecting a subset of designs under the… Expand
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Highly Cited
2010
Highly Cited
2010
With the advance of new computing technology, simulation is becoming very popular for designing large, complex and stochastic… Expand
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2009
2009
In this paper, we consider the problem of selecting the best design from a discrete number of alternatives in the presence of a… Expand
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Highly Cited
2008
Highly Cited
2008
We consider a class of the subset selection problem in ranking and selection. The objective is to identify the top m out of k… Expand
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Highly Cited
2004
Highly Cited
2004
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation… Expand
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2004
2004
We consider the optimal computing budget allocation (OCBA) problem where the simulated designs are correlated. The exact optimal… Expand
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2003
2003
Indifference-zone-selection procedures have been widely studied and applied to determine the required sample sizes for selecting… Expand
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Highly Cited
1997
Highly Cited
1997
This paper deals with ranking and selection problem via simulation. We present an optimal computing budget allocation technique… Expand
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