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In this paper, we show a scalarization result of ε-weak efficient solution for a VEP.
In this paper, a scalarization result of ε-weak efficient solution for a vector equilibrium problem (VEP) is given.
Gupta et al. [8] presented the equivalent definition of higher order strict local efficient solution for a multiobjective programming problem.
We consider the weakly efficient solution for a class of nonconvex and nonsmooth vector optimization problems in Banach spaces.
Our proposed design presents an efficient solution for a range of applications where area and performance are both important.
The proposed algorithm is an efficient solution for a dynamic environment that allows nodes to concurrently reserve a slot without increasing control overhead.
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Theorem Each optimal solution of problem (6) is an efficient solution for an MOILP problem.
Weighted sum scalarization is the most common approach to evaluate efficient solutions for a deterministic multiobjective optimization problem.
Another issue is to investigate strategies for selecting time integration step size, since an adaptive time stepping is necessary to find efficient solutions for a long time simulation.
WSRMax over is a well-researched problem and there are many efficient solutions for a wide range of PHY layer setups [3, 8, 18].
They also derived characterizations for the nonemptiness and compactness of weakly efficient solutions for a convex vector optimization problem with functional constraints in finite dimensional spaces.
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