Results 31 to 40 of about 286,228 (120)
Multipolar robust optimization
We consider linear programs involving uncertain parameters and propose a new tractable robust counterpart which contains and generalizes several other models including the existing Affinely Adjustable Robust Counterpart and the Fully Adjustable Robust ...
Walid Ben-Ameur +3 more
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Optimal Design of Electrically Fed Hybrid Mars Ascent Vehicle
The optimal design of the propulsion system for a potential Mars Ascent Vehicle is analyzed, in the context of the Mars Sample Return Mission. The Mars Ascent Vehicle has to perform an initial ascent phase from the surface and then circularize into a 170
Lorenzo Casalino +2 more
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As they deliver dispatchable renewable energy, biomass power plants are expected to play a key role in the stability of the future electricity grids dominated by intermittent renewables.
J. Blondeau +5 more
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Shortfall-Based Wasserstein Distributionally Robust Optimization
In this paper, we study a distributionally robust optimization (DRO) problem with affine decision rules. In particular, we construct an ambiguity set based on a new family of Wasserstein metrics, shortfall–Wasserstein metrics, which apply normalized ...
Ruoxuan Li, Wenhua Lv, Tiantian Mao
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Hybrid Rocket Engine Design Optimization at Politecnico di Torino: A Review
Optimization of Hybrid Rocket Engines at Politecnico di Torino began in the 1990s. A comprehensive review of the related research activities carried out in the last three decades is here presented.
Lorenzo Casalino +2 more
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Uncertainties caused by material variation can significantly impair the characteristics of devices. Therefore, it is important to design devices whose performance is not significantly damaged even when material variations occur. Robust optimization seeks
Akito Maruo, Hajime Igarashi
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Twenty years of continuous multiobjective optimization in the twenty-first century
The survey highlights some of the research topics which have attracted attention in the last two decades within the area of mathematical optimization of multiple objective functions.
Gabriele Eichfelder
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Structural optimization of complex mechatronic components may involve heterogeneous competing performance indices, including the cost, fixation, benefit, and deviation ones.
Jin Cheng +5 more
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Robust optimization through neuroevolution.
We propose a method for evolving neural network controllers robust with respect to variations of the environmental conditions (i.e. that can operate effectively in new conditions immediately, without the need to adapt to variations). The method specifies
Paolo Pagliuca, Stefano Nolfi
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Robust Topology Optimization for Compliant Mechanisms Considering Uncertainty of Applied Loads
In this study, a robust topology optimization method is proposed for compliant mechanisms, where the effect that variation of the input load direction has on the output displacement is considered.
Nozomu KOGISO +4 more
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