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To provide a multiple objective solution we used Pareto analysis.
The growing literature of STP focuses on multiple objective problems, that is, multiple objective solid transportation problems (MOSTPs).
The multiple objective functions are prediction accuracy, sensitivity and specificity.
This gives rise to a multiple objective problem.
This approach considers the optimization of storage systems integrated in a problem with multiple objective functions.
Many authors have made contributions in the development of duality theory for multiple objective programming problems.
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As an extension to the conventional DEA model, multiple objective-based models are further introduced.
There are two general approaches to multiple-objective optimization.
In this case, it turns into a multiple-objective inverse problem.
In comparison, inexact multiple-objective programming (IMOP) can be developed to handle different objectives more explicitly.
Note that there are various ways to deal with multiple-objective problems.
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