Using Black Hole Algorithm for Solving Feature Selection Problem
In recent years many nature-inspired algorithms have been proposed to solve various problems. One of the most
important algorithms which achieved great success when applied in many applications is the Black Hole algorithm, which
was derived from the natural phenomenon in the universe; the phenomenon of explosion of a huge star in space, which leads
to the formation of the so-called black hole. In this paper, the application of the black hole algorithm on solving feature
selection problem is investigated. The aim of feature selection is to detect and predict the right knowledge instead of
examining all the features in the database for specific information, a number of features are selected, but not all.