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The basic fitness function used by the optimization algorithm to converge to the near optimal solution is (9).
Figure 7 illustrates the gain obtained by the optimization.
The saved time induced by the optimization has multiple impacts.
As in Section 3, the gain given by the optimization is very important.
This level of decolorization was achieved by the optimization of different factors.
The parameters C and ( varepsilon ) can be selected by the optimization algorithm.
Figure 12 Gain given by the optimization depending on the CPU number.
Figure 11 presents the additional performance improvement achieved by the optimization of f and k parameters.
Hence, the overall complexity is dominated by the optimization algorithm for CPE.
The last two columns show the CPU seconds by the optimization solver and HCDFA, respectively.
Figure 11 shows the speedup given by the optimization and the number of used CPU.
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