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So it utilizes artificial bee colony optimization to find the optimal values of embedding strength.
Any other algorithm to optimize modularity can be used, provided the optimal values of modularity found are competitive.
Optimal values of these charging conditions parameters were determined.
The optimal values of z∗ are given in Table 1.
We denote the optimal values of them with and, respectively.
Thereafter, the optimal values of the decision variables are determined.
The optimal values of aforementioned design variables are investigated.
The optimal values of intrapopulation diversity decrease in more stable conditions, while the optimal values of species richness increase.
The optimal values of these parameters must be found during the so-called tuning process.
Numerical techniques are employed to find the optimal values of the parameters using transient temperature profiles.
The optimal values of some parameters influencing the process of heat transfer were defined.
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