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… (More)
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Topic mentions per year

Topic mentions per year

1997-2017
05101519972017

Papers overview

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2015
2015
Particle Swarm Optimization (PSO) is a population-based metaheuristic that can be applied to optimize controllers for multiple… (More)
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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… (More)
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2013
2013
Particle Swarm Optimization (PSO) is a population-based algorithm whose performance deteriorates in optimization problems subject… (More)
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2012
2012
In this paper, we develop an optimal computing budget allocation (OCBA) algorithm for selecting a sub-set of designs under the… (More)
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2011
2011
Simulation has been applied in many optimization problems to evaluate their solutions' performance under stochastic environment… (More)
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2010
2010
We propose to improve the efficiency of simulation optimization by integrating the notion of optimal computing budget allocation… (More)
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2004
2004
We consider the optimal computing budget allocation (OCBA) problem where the simulated designs are correlated. The exact optimal… (More)
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2004
2004
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation… (More)
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2003
2003
Ordinal optimization has emerged as an efficient technique for simulation and optimization, converging exponentially in many… (More)
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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… (More)
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