Results 21 to 30 of about 1,105,335 (289)
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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Oracle-Based Robust Optimization via Online Learning [PDF]
, 2014 Robust optimization is a common framework in optimization under uncertainty when the problem parameters are not known, but it is rather known that the parameters belong to some given uncertainty set.
Ben-Tal, Aharon +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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Metals, 2019 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
Open Journal of Mathematical Optimization, 2021 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]
SIAM Journal on Optimization, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dimitris Bertsimas +2 more
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Case Studies in Thermal Engineering, 2020 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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Development of a variance prioritized multiresponse robust design framework for quality improvement [PDF]
, 2009 Robust design is a well-known quality improvement method that focuses on building quality into the design of products and services. Yet, most well established robust design models only consider a single performance measure and their prioritization ...
Antony, Jiju +2 more
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Multi-objective topology design optimization combined with robust optimization
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2023 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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