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Minimization function.
the global energy minimization function can be formulated as (3).
In the following iterations, energy minimization function is used up to the i th epoch pair.
Terms not depending on R and leading scalar multipliers can be excluded because they won't affect the minimization function.
In this paper, first a new explicit formulation of Nash equilibrium as a classical minimization function is formulated.
The continuous execution of the cost minimization function essentially allows evasion of links under the influence of a random jammer.
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Next, we will analyze one of the cases and present the algorithms for both energy and time minimization functions.
We note that no built-in MATLAB optimization (minimization) functions were used in the 2.5D code of our paper.
We have studied all eight cases and derived solutions to each one of them for both energy minimization and time minimization functions.
In each case, the solution can be calculated analytically for energy minimization or it can be found iteratively for time minimization functions.
It is a GA-based meta-heuristic that splits the classic two-termed minimization functions by making two consecutive ranks of individuals.
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