… introduce the dispersion factor among the leader wolves. The Dispersion factor changes the
… from the local optima whereas the dispersion factor DF controls the movement of the leader …

… factor increases. Accordingly, based on the superiority of DE and coarse-graining procedure,
the concept of multiscale dispersion … , the improved multiscale dispersion entropy (IMDE) is …

… diversity, a dispersed foraging SMA (DFSMA) with a dispersed foraging strategy is … selected
features, demonstrating its practical engineering value in spatial search and feature selection…

… feature selection algorithm (TFFS) [6], analyzes the reasons for the low classification accuracy
by using the algorithm to extract the features … information of feature as a weighting factor. …

… (SSA-RVM) is proposed, moreover, the features of seven types of SRN are extracted … factor
α must to be preset artificially in VMD, TSO-VMD is proposed. To select optimal width factor …

… One of the main factors in train and test subset selection is that the statistical characteristics
of both training and testing subsets must be approximately identical. For example, if the train …

… The scale factor has no specific practical meaning, but mainly refers to the number of the
feature (ie, the seventh feature represents a scale factor of seven, and so on). 1) Embedding …

… In the current study, the factors a and c are set as 1 and 2 , whereas b and d are … select
effective IMFs for reconstruction. In the present study, the DTW algorithm is used for the selection …

… The vectors x contain predicatively useful factors influencing the output y . The only …
Therefore, GT was selected in this paper as the primary method for the selection of model …

… series under different scale factors. Nonetheless, multiscale … [28] proposed the concept of
hierarchical dispersion entropy (… feature selection,” IEEE Access, vol. 6, pp. 3715–3730, 2018. …