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The search process is based on a four-objective optimization problem that minimizes the number of selected predictors, maximizes the predictive accuracy of a data-driven model and optimizes two information theoretic metrics of relevance and redundancy, which guarantee that the selected subsets are highly informative and with little intra-subset similarity.
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This work illustrates the use of a multi-objective optimization approach to model and optimize the performance of a simple thermoacoustic engine.
Numerous researches have been made to understand, model and optimize this process.
They have the same goal, to model and optimize the performance of thermal machines.
He then made a number of changes to streamline the model and optimize it for a single specialized use case.
Response surface methodology has been successfully used to model and optimize biochemical and biotechnological processes related to food[19, 20].
To model and optimize the NO and CO conversions, a neuro-genetic approach was employed.
In 2008, Autodesk bought Green Building Studio, now part of its Ecotect Analysis software that helps architects model and optimize building energy efficiency.
Batch experiments are carried out to model and optimize the process.
The aim of research is to rigorously model and optimize this novel hybrid process.
The main objective of this study was to model and optimize the microencapsulation process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com