Results 31 to 40 of about 1,105,335 (289)
Non-Uniform Robust Network Design in Planar Graphs [PDF]
, 2015 Robust optimization is concerned with constructing solutions that remain feasible also when a limited number of resources is removed from the solution. Most studies of robust combinatorial optimization to date made the assumption that every resource is ...
Adjiashvili, David
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ROC++: Robust Optimization in C++
INFORMS Journal on Computing, 2022 Over the last two decades, robust optimization has emerged as a popular means to address decision-making problems affected by uncertainty. This includes single-stage and multi-stage problems involving real-valued and/or binary decisions and affected by exogenous (decision-independent) and/or endogenous (decision-dependent) uncertain parameters. Robust
Phebe Vayanos +2 more
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Optimal Design of Electrically Fed Hybrid Mars Ascent Vehicle
Aerospace, 2021 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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Portfolio Selection by Robust Optimization [PDF]
تحقیقات مالی, 2014 This paper discusses the portfolio selection based on robust optimization. Since the parameters values of the portfolio optimization problem such as price of the stock, dividends, returns, etc.
Azin Abrishami, Reza Yousefi Zenouz
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Robustness of A-optimal designs
Linear Algebra and its Applications, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masaro, Joe, Wong, Chi Song
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Optimality of Robust Online Learning
Foundations of Computational Mathematics, 2023 In this paper, we study an online learning algorithm with a robust loss function $\mathcal{L}_σ$ for regression over a reproducing kernel Hilbert space (RKHS). The loss function $\mathcal{L}_σ$ involving a scaling parameter $σ>0$ can cover a wide range of commonly used robust losses.
Zheng-Chu Guo +2 more
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Robust Portfolio Optimization Using Pseudodistances. [PDF]
PLoS ONE, 2015 The presence of outliers in financial asset returns is a frequently occurring phenomenon which may lead to unreliable mean-variance optimized portfolios.
Aida Toma, Samuela Leoni-Aubin
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Optimal robust expensive optimization is tractable [PDF]
Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009 Following a number of recent papers investigating the possibility of optimal comparison-based optimization algorithms for a given distribution of probability on fitness functions, we (i) discuss the comparison-based constraints (ii) choose a setting in which theoretical tight bounds are known (iii) develop a careful implementation using billiard ...
Rolet, Philippe +2 more
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Doubly Robust Policy Evaluation and Optimization [PDF]
, 2014 We study sequential decision making in environments where rewards are only partially observed, but can be modeled as a function of observed contexts and the chosen action by the decision maker.
Dudík, Miroslav +3 more
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Case Studies in Thermal Engineering, 2020 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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