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We formulate the assignments of tasks to servers as an integer-programming problem with the objective of minimizing the energy consumed by the servers of the data center.
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On the other hand, if one were to formulate the assignment g so that the targets s τ are assigned a random choice of criteria from the entire set γ (note that the allowed choices for ITR and BFS are restricted to a smaller set), such method can only achieve a similarity value of 0.051 with the target criteria τ.
4. Iterative ITR): Given a set of target criteria τ and a set of candidate criteria γ, for each s τ ∈ τ, formulate the assignment by choosing the most similar s γ.
Sagir and Ozturk (2010) formulated the assignment of invigilators to exams as a multi-objective model and calculated the weights of objectives using the analytic network process.
They formulated the assignment problem as a local search problem and developed a Monte Carlo simulated annealing algorithm to explore the assignment search space.
In the future, this will be improved to formulate the resource assignments via a bin packing problem formulation for more realistic results.
Under these settings, we formulate the spectrum assignment as follows: The CRN owns M spectrum bands.
In this article, we formulate the MCS assignment of the layering structure as a total utility maximization problem (TUMP).
We formulate the user assignment as a utility maximization problem which is constrained by the resources (such as power or bandwidth) of the individual base stations (BSs) as well as users' minimum data rate requirements.
Here we formulate the problem of assignment given a structure and minimalist NMR data as the contact replacement problem (Fig. 1).
Using game theory concepts, we formulate the problem as an assignment game.
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