Results 51 to 60 of about 3,492,516 (198)

Multicriteria adjustable robustness

Results in Applied Mathematics
Multicriteria adjustable robust optimization (MARO) problems are highly relevant for a wide variety of practical problems with a two-stage-decision, typically an initial purchase decision followed by the possibility to react during operation after ...
Elisabeth Halser, Elisabeth Finhold, Neele Leithäuser, Jan Schwientek, Katrin Teichert, Karl-Heinz Küfer   +5 more
doaj   +1 more source

Heterogeneous-Objective Robust Optimization of Complex Mechatronic Components Considering Interval Uncertainties

IEEE Access, 2019
Structural optimization of complex mechatronic components may involve heterogeneous competing performance indices, including the cost, fixation, benefit, and deviation ones.
Jin Cheng, Yangming Qian, Zhenyu Liu, Yixiong Feng, Zhendong Zhou, Jianrong Tan   +5 more
doaj   +1 more source

Kernel distributionally robust optimization [PDF]

, 2020
We propose kernel distributionally robust optimization (Kernel DRO) using insights from the robust optimization theory and functional analysis. Our method uses reproducing kernel Hilbert spaces (RKHS) to construct a wide range of convex ambiguity sets ...
Zhu, Jia-Jie, Diehl, Moritz, Schölkopf, Bernhard, Jitkrittum, Wittawat   +3 more
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Robust optimization ? methodology and applications [PDF]

Mathematical Programming, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aharon Ben-Tal, Arkadi Nemirovski
openaire   +2 more sources

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, Qing Jin, George Elissaios   +2 more
openaire   +3 more sources

Robust Optimization Utilizing the Second-order Design Sensitivity Information

, 2009
This paper presents an effective methodology for robust optimization of electromagnetic devices. To achieve the goal, the method improves the robustness of the objective function by minimizing the second-order sensitivity information, called a gradient ...
Kim, Dong-Wook, Jeung, Giwoo, Lowther, D. A., Sykulski, J. K., Kim, Dong-Hun   +4 more
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Applying Robust Optimization to Solve Product Mix Problem in Automotive Industries [PDF]

مدیریت صنعتی, 2009
Applying Robust Optimization to Solve Product Mix Problem in Automotive Industries In this article, applying robust optimization in product mix problem in automotive industries is presented.
Ali Mohaghar, Mohammad Reza Mehregan, Mohammad Reza Nazabadi   +2 more
doaj  

Distribution-Aware Optimization for Robust Recommendations [PDF]

Jisuanji kexue yu tansuo
With increasing applications of personalized recommendation systems on a variety of platforms, the need to accurately understand and model complex user behaviors along with vast item information has become critical.
TAN Yanchao, ZHOU Zihao, MA Guofang, WANG Shiping, HUANG Wei, YANG Carl, LI Tianrui
doaj   +1 more source

Optimization of HILIC method for the analysis of bisoprolol and its impurities considering uncertainties in peak position [PDF]

Arhiv za farmaciju, 2014
This paper presents the robust optimization of hydrophilic interaction liquid chromatographic method for the analysis of bisoprolol and its impurities A and C.
Rakić Tijana, Jovanović Marko, Tumpa Anja, Jančić-Stojanović Biljana, Medenica Mirjana   +4 more
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Robust optimization techniques and design of Li-ion batteries [PDF]

, 2011
This thesis applies robust optimization techniques to the design of Lithium-ion batteries with spatially varying porosities. The microstructure of a porous electrode was designed to minimize the Ohmic resistance.
Latinwo, Folarin B.
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