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The heat recovery process for power generation is modeled first to facilitate the development of the EPD model that maximizes the plant's economic benefits in terms of minimizing electricity cost and maximizing revenue from selling the generated electricity.
The model is a non-linear optimization model that maximizes the discounted value of Korean economic utility.
We propose a multi-period mathematical optimization model that maximizes the producer's profit while optimizing the prices of different servicing options, production quantities, and inventory levels.
The problem is formulated as a bi-criterion optimization model that maximizes the net present value and minimizes the expected lead time.
In order to ameliorate this problem, this paper proposes a novel bi-objective optimization model that maximizes the system reliability and minimizes the system total cost for designing N-version software systems.
The quantitative approach consists of a stochastic optimization model that maximizes the profits of a WPP by trading in different markets (day-ahead and intraday) and computes the final energy delivered.
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Here we suggest the use of and provide a demonstration of statistical models that maximizes both predictive model precision and accuracy that can discriminate among the high dimensionality of model space.
We sought to develop parsimonious models rather than traditional predictive models that maximize prediction but make interpretation of individual variable contributions difficult.
Achieving worldwide elimination of pediatric HIV infection requires the identification of service integration models that maximize retention in PMTCT programs [ 3].
While model selection and multimodel inference will likely not be a broad spectrum strategy for all challenges, our results suggest that they provide a valid means to address what is a considerable amount of diversity across the genome, by selecting a group of best-fitting models that maximize phylogenetic accuracy.
For a fixed set of data and underlying statistical model, Maximum Likelihood selects the set of values of the model parameters that maximizes the likelihood function.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com