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Robust balanced optimization [PDF]
EURO Journal on Computational Optimization, 2018 An instance of a balanced optimization problem with vector costs consists of a ground set X, a cost-vector for every element of X, and a system of feasible subsets over X.
AnnetteM.C. Ficker +2 more
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Multipolar robust optimization [PDF]
EURO Journal on Computational Optimization, 2018 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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Robust optimization through neuroevolution.
PLoS ONE, 2019 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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Strategies for Hydrogen-Enriched Methane Flameless Combustion in a Quasi-Industrial Furnace
Frontiers in Energy Research, 2021 In this present work, simulations of 20 kW furnace were carried out with hydrogen-enriched methane mixtures, to identify optimal geometrical configurations and operating conditions to operate in flameless combustion regime.
Ruggero Amaduzzi +6 more
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A robust robust optimization result [PDF]
Operations Research Letters, 2012 We study the loss in objective value when an inaccurate objective is optimized instead of the true one, and show that "on average" this loss is very small, for an arbitrary compact feasible region.
Martina Gancarova, Michael J. Todd
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Combination of polynomial chaos and Kriging for reduced-order model of reacting flow applications
Results in Engineering, 2021 The combination of Proper Orthogonal Decomposition (POD) with Kriging has been shown to be a reliable choice for the development of Reduced-Order Models (ROMs) for the prediction of combustion data at unexplored operating conditions.
Gianmarco Aversano +4 more
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Case Studies in Thermal Engineering, 2022 This work compares the economic viability of active and passive condensation in a medium-scale biomass combustion plant considering the variability of the return temperature and heat demand over the year.
Thibault Coppieters +2 more
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Local manifold learning and its link to domain-based physics knowledge
Applications in Energy and Combustion Science, 2023 In many reacting flow systems, the thermo-chemical state-space is known or assumed to evolve close to a low-dimensional manifold (LDM). Various approaches are available to obtain those manifolds and subsequently express the original high-dimensional ...
Kamila Zdybał +5 more
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Optimization and Optimizers for Adversarial Robustness
CoRR, 2023 Empirical robustness evaluation (RE) of deep learning models against adversarial perturbations entails solving nontrivial constrained optimization problems. Existing numerical algorithms that are commonly used to solve them in practice predominantly rely on projected gradient, and mostly handle perturbations modeled by the $\ell_1$, $\ell_2$ and $\ell_\
Hengyue Liang +5 more
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Metals, 2020 In this work, we studied a Ti-Nb-Zr-Sn system for exploring novel composition and temperatures that will be helpful in maximizing the stability of β phase while minimizing the formation of α” and ω-phase. The Ti-Nb-Zr-Sn system is free of toxic elements.
Rajesh Jha, George S. Dulikravich
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