A novel approach of features selection by using slime mould algorithm.

Autor: Hassan, Hassan S., Hussein, Nazar K.
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Zdroj: AIP Conference Proceedings; 2022, Vol. 2394 Issue 1, p1-9, 9p
Abstrakt: Slime mould Algorithm (SMA) is modern meta–heuristic algorithm that is depended on the mechanism of swarming of slimes. SMA considers one of the good algorithms in the field of intelligence optimization. In this paper we proposed a new binary Slime mould Algorithm to depend on transformation function which converts the continuous space to discrete space. The purpose of create this algorithm is to use in the feature selections. The new algorithm used with different dataset and compared with different algorithm. The results of numerical experimental showed that the proposed algorithm have a good performance compared with other algorithm. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index