Robust Optimization

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Robust Optimization - RO
Publications: 2,100| Citation Count: 12,132
Stemming Variations: robust optimal, robustness optimization, robustness optimality, robust optimizing, robust optimizers
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    • Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known to belong to some uncertainty set. The paper surveys the main results of RO as applied to uncertain linear, conic quadratic and semidefinite programming. For these cases, computationally tractable robust counterparts of uncertain problems are explicitly obtained, or good approximations of these counterparts are proposed, making RO a useful tool for real-world applications...

    Aharon Ben-Talet al. Robust optimization - methodology and applications

    • Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic “uncertain-but bounded” data perturbations...

    Aharon Ben-talet al. Selected topics in robust convex optimization

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