Results 21 to 30 of about 286,228 (120)
Evaluation of Modeling Approaches for MILD Combustion Systems With Internal Recirculation
Numerical simulations employing two different modeling approaches are performed and validated against experimental results from a moderate or intense low-oxygen dilution (MILD) system with internal recirculation. The flamelet-generated manifold (FGM) and
Ruggero Amaduzzi +7 more
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Frameworks and Results in Distributionally Robust Optimization
The concepts of risk aversion, chance-constrained optimization, and robust optimization have developed significantly over the last decade. The statistical learning community has also witnessed a rapid theoretical and applied growth by relying on these ...
Rahimian, Hamed, Mehrotra, Sanjay
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PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds
Many scientific disciplines rely on dimensionality reduction techniques for computationally less expensive handling of multivariate data sets. In particular, Principal Component Analysis (PCA) is a popular method that can be used to discover the ...
Kamila Zdybał +3 more
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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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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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Portfolio Selection by Robust Optimization [PDF]
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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Robust Portfolio Optimization Using Pseudodistances. [PDF]
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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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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