Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection

The slime mould algorithm (SMA) is a population-based optimization algorithm that mimics the foraging behavior of slime moulds with a simple structure and few hyperparameters. However, SMA has some limitations, such as getting trapped in local optima when dealing with multimodal or combinatorial fun...

Full description

Autores:
Zhou, Xinsen
Chen, Yi
Wu, Zongda
Heidari, Ali Asghar
Chen, Huiling
Alabdulkreem, Eatedal
Escorcia-Gutierrez, José
Wang, Xianchuan
Tipo de recurso:
Article of investigation
Fecha de publicación:
2023
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/13556
Acceso en línea:
https://hdl.handle.net/11323/13556
https://repositorio.cuc.edu.co/
Palabra clave:
All-dimension neighborhood search
Classification
Feature selection
Local dimensional mutations
Meta-heuristic
Optimization
Slime mould algorithm
SMA
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)