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The optimal solution for the optimization problem has a high computational complexity which makes it unsuitable for the practical applications.
The GSO algorithm was also used to find the optimal solution for the continuous optimization problem.
Algorithm 1 describes the steps of the Lagrangian method applied to find a closed-form optimal solution for the constrained optimization.
Seven different combined procedures were performed to determine the optimal solution for the primal optimization problem by comparing their optimal objective values.
Particle swarm optimization is used to find a near optimal solution for the formulated problem.
Therefore, (18) gives the unique optimal solution for the powers.
A red circle indicates the optimal solution for the mechanism.
It was proved in [76, 77] that the optimal solution for the above maxmin problem is.
An optimal solution for the newsvendor's model is a Nash equilibrium.
Later, a genetic algorithm was applied to identify the optimal solution for the programming problem [1].
In Section IV, we give the optimal solution for the subchannel and power allocation problem considered.
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