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A data-based model-free optimization using quadratic fit was utilized to rapidly estimate the optimum average fluence rate set point value that rendered maximum microalgae growth rate.
The integrated software system supports the typical workflow consisting of experiment design, data analysis, development of data-based models and formulation optimization.
The RSM encapsulates the state-of-the-art space-filling experimental design, advanced data-based modeling, and model-aided optimization while considering prediction uncertainty.
Data-based empirical models, though widely used in process optimization, are restricted to a specific process being modeled.
This algorithm combines computer vision and optimization techniques to become the first training data-based algorithm specifically designed for processing forest LiDAR data.
4. The optimization criterions do not account for the fact that data-based estimates for the components of the y (or z) vector are known with differing precision.
Data-based standards should guide biofuel production.
The proposed method is based on variational data assimilation and adjoint-based optimization.
This paper presents a novel and holistic framework for reactive construction scheduling based on actual data by applying simulation-based optimization.
The framework we propose is general and can be used to perform uncertainty propagation and quantification in model-based simulations, multi-fidelity data fusion, and surrogate-based optimization.
This paper utilizes radio frequency identification (RFID) technology, data mining, and simulation-based optimization to develop a production planning and control system for a panelized home production facility.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com