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The numbers of clusters found by each algorithm are placed between parentheses.
Thus, a number of the final non-dominated solutions found by each algorithm are counted.
To evaluate this question the solutions produced by each algorithm are considered and evaluated according to the corresponding fitness values.
The MC scores, NMI scores and the number of clusters found by each algorithm are reported in Table 3.
Finally, the results obtained by each algorithm are averaged over 30 runs using the stratified 10-fold cross-validation process.
The total power allocated by each algorithm is shown in Fig. 4. It is observed from the figure, the curves of power consumed by each algorithm are roughly flat except the PSO algorithm.
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The optimal objective function values attained by each algorithm is shown in Table 2.
Hence, the number of final non-dominated solutions obtained by each algorithm is important to calculate this metric (Bandyopadhyay et al. 2004).
In case 3, the result comparison of FEs' cost by each algorithm is similar to that in case 2. That is, PSO consumes the least FEs among the four algorithms, though its allocation solution is the worst; PADE costs less FEs than DE, ABC, and jDE; its solution is the best compared with PSO, DE, jDE, and ABC.
The ranking of the biclusters by each algorithm is the ranking generated by the respective package.
Thresholds for accepting PSMs generated by each algorithm were set consistent with an FDR of 1%.
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Justyna Jupowicz-Kozak
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