Advanced RIME architecture for global optimization and feature selection

Advanced RIME architecture for global optimization and feature selection

Abstract The article introduces an innovative approach to global optimization and feature selection (FS) using the RIME algorithm, inspired by RIME-ice formation. The RIME algorithm employs a soft-RIME search strategy and a hard-RIME puncture mechanism, along with an improved positive greedy selecti...

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Bibliographic Details
Main Authors: Ruba Abu Khurma, Malik Braik, Abdullah Alzaqebah, Krishna Gopal Dhal, Robertas Damaševičius, Bilal Abu-Salih
Format: Article
Language:English
Published: SpringerOpen 2024-06-01
Series:Journal of Big Data
Subjects:
Feature selection
RIME
Optimization
Metaheuristic
Transfer function
Online Access:https://doi.org/10.1186/s40537-024-00931-8

Internet

https://doi.org/10.1186/s40537-024-00931-8

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