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An approach to robust optimization of impact problems using random samples an...
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Simultaneous kriging-based estimation and optimization of mean response
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Worst-case global optimization of black-box functions through Kriging and rel...
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Robust optimization of the rate of penetration of a drill-string using a stoc...
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Design optimization with an uncertain vibroacoustic model
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Robust design optimization with respect to model and data uncertainties in co...
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Cover inequalities for robust knapsack sets - Application to the robust bandw...
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Assembly Line Balancing under Uncertainty: Robust Optimization Models and Exa...
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Production line design under uncertainty : sensitivity analysis and robust ap...
The presented work deals with the design of production systems in uncertain context. The design of such systems can be interpreted as an optimization problem that... -
An approach to robust network design in telecommunications
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Multipolar routing : where dynamic and static routing meet
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A Robust Scenario Approach for the Vehicle Routing Problem with Uncertain Tra...
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Simulation-based assessment of the robustness of IP-based truck schedules for...
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Reduced sampling and incomplete sensitivity for low-complexity robust paramet...
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Affine recourse for the robust network design problem: Between static and dyn...
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Robust combinatorial optimization with variable budgeted uncertainty
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Robust Energy Management for Green and Survivable IP Networks
Despite the growing necessity to make Internet greener, it is worth pointing out that energy-aware strategies to minimize network energy consumption must not undermine... -
A rolling horizon framework for the operating rooms planning under uncertain ...
We consider the Advanced Scheduling Problem (ASP) assuming a block scheduling strategy. A set of patients and the related surgery waiting list are given, together with... -
Contributions to the reliability of numerical simulations in fluid mechanics....
At the interface of physics, mathematics, and computer science, Uncertainty Quanti cation (UQ) aims at developing a more rigorous framework and more reliable methods...
