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Data generated for the Ti−Al−Cr−V system of metallic alloys from our previous publication, where the composition of 102 alloys were computationally Pareto optimized with the objective of simultaneously maximizing the Young’s ...
Rajesh Jha, George S. Dulikravich
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Robust Combinatorial Optimization with Locally Budgeted Uncertainty
Budgeted uncertainty sets have been established as a major influence on uncertainty modeling for robust optimization problems. A drawback of such sets is that the budget constraint only restricts the global amount of cost increase that can be distributed
Goerigk, Marc, Lendl, Stefan
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Probabilistic Guarantees in Robust Optimization [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dimitris Bertsimas +2 more
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Robust optimization in simulation: Taguchi and Krige combined [PDF]
Optimization of simulated systems is the goal of many methods, but most methods assume known environments. We, however, develop a "robust" methodology that accounts for uncertain environments.
Jack P. C. Kleijnen +9 more
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Robust Optimization for Combinatorial Optimization Problems [PDF]
Many combinatorial optimization problems arising in real-world applications do not have accurate estimates of the problem parameters when the optimization decision is taken. Stochastic programming and robust optimization are two common approaches for the
WU, Wei, 呉, 偉
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Robust optimization utilizing the second-order design sensitivity information [PDF]
This paper presents an effective methodology for robust optimization of electromagnetic devices. To achieve the goal, the method improves the robustness of the minimum of the objective function chosen as a design solution by minimizing the second-order ...
Kim, Heung-Geun +11 more
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The Furnace Exit Gas Temperature (FEGT) is a key parameter of the combustion process in utility boilers that needs to be accurately monitored, especially in order to increase their load- and fuel-flexibility.
J. Blondeau +4 more
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Multi-objective topology design optimization combined with robust optimization
Topology optimization (TO), which is a design optimization technique that does not require design parameters, has been attracting attention. TO has a high degree of freedom and can obtain a novel design shape suitable for desired purposes.
Akito MARUO +4 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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ROC++: Robust Optimization in C++
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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