Abstract: To address the problems of low classification accuracy, redundancy of feature subsets, and performance susceptibility to parameters ... improved Slime Mould Algorithm with multi-strategy was ...

Abstract: In this paper, the multi-objective Hybrid Taguchi-Genetic Algorithm is used to search for the best processing parameters with specified processing accuracy. The experimental cutting ...

AMGWO, a new feature selection method inspired by grey wolves, uses adaptive strategies to enhance machine learning models.

Mathematicians soon hypothesized that as your set gets bigger, the biggest sum-free subsets will get much larger than N /3.