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Robust optimization

Known as: Robust optimisation 
Robust optimization is a field of optimization theory that deals with optimization problems in which a certain measure of robustness is sought… Expand
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Papers overview

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Review
2019
Review
2019
Static robust optimization (RO) is a methodology to solve mathematical optimization problems with uncertain data. The objective… Expand
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Highly Cited
2013
Highly Cited
2013
Abstract In this paper, we present a column-and-constraint generation algorithm to solve two-stage robust optimization problems… Expand
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Highly Cited
2012
Highly Cited
2012
This paper evaluates the real-time price-based demand response (DR) management for residential appliances via stochastic… Expand
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Highly Cited
2010
Highly Cited
2010
Stochastic programming can effectively describe many decision-making problems in uncertain environments. Unfortunately, such… Expand
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Highly Cited
2010
Highly Cited
2010
In this paper we focus on a linear optimization problem with uncertainties, having expectations in the objective and in the set… Expand
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Highly Cited
2009
Highly Cited
2009
In this paper, we propose a methodology for constructing uncertainty sets within the framework of robust optimization for linear… Expand
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Highly Cited
2007
Highly Cited
2007
In this paper, we introduce an approach for constructing uncertainty sets for robust optimization using new deviation measures… Expand
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Highly Cited
2006
Highly Cited
2006
We propose a general methodology based on robust optimization to address the problem of optimally controlling a supply chain… Expand
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Highly Cited
1998
Highly Cited
1998
We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given… Expand
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Highly Cited
1995
Highly Cited
1995
Mathematical programming models with noisy, erroneous, or incomplete data are common in operations research applications… Expand
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