Results 61 to 70 of about 159,833 (300)
Two-Stage Adaptable Robust Optimization for Glass Production
Proceedings of the 13th International Conference on Operations Research and Enterprise SystemsIn the glass industry, visual and thermal properties of the glass sheets are obtained via the deposit of thin layers of different materials. A standard way to perform this step is the use of a “magnetron,” in which the materials are transferred from cathodes to the sheets using a magnetic field.
Medvedev, Anton +2 more
openaire +2 more sources
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
IEEE AccessNavigating the complex terrain of microgrid energy management is challenging due to the uncertainties linked with abundant renewable resources, fluctuating demand, and a wide range of devices including batteries, distributed energy sources, electric ...
Hamid Hematian +4 more
doaj +1 more source
A machine learning approach to two-stage adaptive robust optimization
European Journal of Operational ResearchWe propose an approach based on machine learning to solve two-stage linear adaptive robust optimization (ARO) problems with binary here-and-now variables and polyhedral uncertainty sets. We encode the optimal here-and-now decisions, the worst-case scenarios associated with the optimal here-and-now decisions, and the optimal wait-and-see decisions into ...
Dimitris Bertsimas, Cheol Woo Kim
openaire +2 more sources
Two-Stage Robust Optimization with Decision Dependent Uncertainty
, 2022 82 pages, 11 ...
Zeng, Bo, Wang, Wei
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Resilience Improvement of Microgrid Cluster Systems Based on Two-Stage Robust Optimization
EnergiesFor microgrids in deep and remote sea areas, ocean currents are widely used as an emerging power generation resource. Implementing ES systems is crucial for smooth power output and grid stability.
Shui Ji, Yun Liu, Shanshan Wu, Xiao Li
doaj +1 more source
Measuring the Value of Randomized Solutions in Distributionally Robust Optimization [PDF]
, 2018 This talk studies the value of randomized solutions (VRS) in distributionally robust mixed integer programming problems. We show different methods for obtaining upper bounds on VRS and identify conditions under which some of them are tight.
Delage, Erick
core
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Energy InformaticsThis paper presents a two-stage optimization framework for long-term energy management in microgrids, aiming to efficiently integrate various energy sources, storage systems, and consumption elements while addressing uncertainties in load demand and ...
Mohamad Javad Mohamadi +3 more
doaj +1 more source