An optimized feature selection using triangle mutation rule and restart strategy in enhanced slime mould algorithm

An optimized feature selection using triangle mutation rule and restart strategy in enhanced slime mould algorithm

This paper proposes an improved feature selection method based on an improved Slime Mould Algorithm (SMA), called the Triangular Mutation Rule Restart Strategy Slime Mould Algorithm (TRSMA), to overcome some of the shortcomings of the SMA, including premature convergence, poor population diversity,...

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Bibliographic Details
Main Authors: Ibrahim Musa Conteh, Gibril Njai, Abass Conteh, Qingguo Du
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Egyptian Informatics Journal
Subjects:
Good point set
Triangular mutation rule
Restart strategy
Slime mould algorithm
Support vector machine
Feature selection
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866525001021
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