Results 11 to 20 of about 376,109 (314)
Data-Centric Engineering, 2021 The integration of Artificial Neural Networks (ANNs) and Feature Extraction (FE) in the context of the Sample- Partitioning Adaptive Reduced Chemistry approach was investigated in this work, to increase the on-the-fly classification accuracy for very ...
Giuseppe D’Alessio +2 more
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Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022 As a solution for sequence optimization, and to obtain a solution that is strong robustness to variations, a multi-objective robust design optimization (MORDO) and robust genetic algorithm (GA) are applied to a multi-objective optimization problem.
Takashi YAMAZAKI +4 more
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A Review of the Numerical Investigations of Jet-In-Hot-Coflow Burner With Reactor-Based Models
Frontiers in Mechanical Engineering, 2020 Moderate or Intense Low-oxygen Dilution (MILD) combustion is considered as one of the most promising novel combustion technologies, as it ensures high efficiency and very low emissions (NOx and CO).
Zhiyi Li +3 more
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Probabilistic Optimization Techniques in Smart Power System
Energies, 2022 Uncertainties are the most significant challenges in the smart power system, necessitating the use of precise techniques to deal with them properly. Such problems could be effectively solved using a probabilistic optimization strategy.
Muhammad Riaz +4 more
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Frontiers in Energy Research, 2020 Ammonia/hydrogen-fueled combustion represents a very promising solution for the future energy scenario. This study aims to shed light and understand the behavior of ammonia/hydrogen blends under flameless conditions.
Marco Ferrarotti +9 more
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Evaluation of Modeling Approaches for MILD Combustion Systems With Internal Recirculation
Frontiers in Mechanical Engineering, 2020 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
Open Journal of Mathematical Optimization, 2022 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
SoftwareX, 2020 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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Robust inverse optimization [PDF]
Operations Research Letters, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kimia Ghobadi +3 more
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Robust Optimization for Electricity Generation [PDF]
INFORMS Journal on Computing, 2021 We consider a robust optimization problem in an electric power system under uncertain demand and availability of renewable energy resources. Solving the deterministic alternating current (AC) optimal power flow (ACOPF) problem has been considered challenging since the 1960s due to its nonconvexity. Linear approximation of the AC power flow system sees
Haoxiang Yang +3 more
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