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The initial solution is spawned by a binary integer programming method; then, evolutionary algorithms are designed to achieve a final optimized solution, which minimizes efficiency losses of participants.
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The optimization problem in (5) is a binary integer programming problem, which can be solved efficiently by a linear programming (LP -based branch-and-bound aLP -based[39].
A binary integer formulation for the mixed-model assembly line balancing problem is developed by Gökcen and Erel (1998).
This problem can be formulated as a binary integer programming problem, which can be solved easily.
The robust signal timing problem is formulated as a binary integer program.
A binary integer program consists of the following: Binary variables: A set of binary variables x 1,, x 2, … x n ∈ {0,1}.
Now the CARP problem is formulated as a binary integer programming problem.
Therefore, we transform (12) into a binary integer programming problem shown as.
Motivated by the potential benefits of caching in mobile backhaul networks, in this paper we formulate the problem of content placement in a hierarchical cache network as a binary integer programming problem.
To achieve this goal, we provide a new formulation of application partitioning as a binary integer programming optimization problem.
The assignment problem is represented as a binary integer program.
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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