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Ordinal optimization

In mathematical optimization, ordinal optimization is the maximization of functions taking values in a partially ordered set ("poset"). Ordinal… Expand
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AntimatroidComputational complexity theoryComputer scienceDirected acyclic graph
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Broader (1)

Control theory

Papers overview

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Review
2016
Review
2016
Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing
9 5 5 partially observable decision processes 9 5. partially observable total cost markov decision processes. partially observed… Expand
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Highly Cited
2007
Highly Cited
2007
Ordinal Optimization: Soft Optimization for Hard Problems
Performance evaluation of increasingly complex human-made systems requires the use of simulation models. However, these systems… Expand
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Highly Cited
2007
Highly Cited
2007
Opportunity Cost and OCBA Selection Procedures in Ordinal Optimization for a Fixed Number of Alternative Systems
Ordinal optimization offers an efficient approach for simulation optimization by focusing on ranking and selecting a finite set… Expand
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Highly Cited
2004
Highly Cited
2004
A large deviations perspective on ordinal optimization
  • P. Glynn, S. Juneja
  • Proceedings of the Winter Simulation Conference…
  • 2004
    • Corpus ID: 1784313
We consider the problem of optimal allocation of computing budget to maximize the probability of correct selection in the ordinal… Expand
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Highly Cited
2000
Highly Cited
2000
Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization
Ordinal Optimization has emerged as an efficient technique for simulation and optimization. Exponential convergence rates can be… Expand
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Highly Cited
2000
Highly Cited
2000
Computing efforts allocation for ordinal optimization and discrete event simulation
Ordinal optimization has emerged as an efficient technique for simulation and optimization. Exponential convergence rates can be… Expand
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1998
1998
Motion planning of walking robots using ordinal optimization
A general approach for coordinating the legs of a multi-legged statically stable walking machine on an uneven terrain. The method… Expand
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Highly Cited
1997
Highly Cited
1997
Universal Alignment Probabilities and Subset Selection for Ordinal Optimization
We examine in this paper the subset selection procedure in the context of ordinal optimization introduced in Ref. 1. Major… Expand
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1995
1995
Ordinal optimization approach to rare event probability problems
In this paper we introduce a new approach to rare event simulation. Because of the extensive simulation required for precise… Expand
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Highly Cited
1992
Highly Cited
1992
Ordinal optimization of DEDS
In this paper we argue thatordinal rather thancardinal optimization, i.e., concentrating on finding good, better, or best designs… Expand
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