Cargando…
A competitive learning-based Grey wolf Optimizer for engineering problems and its application to multi-layer perceptron training
This article presents a competitive learning-based Grey Wolf Optimizer (Clb-GWO) formulated through the introduction of competitive learning strategies to achieve a better trade-off between exploration and exploitation while promoting population diversity through the design of difference vectors. Th...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031199/ https://www.ncbi.nlm.nih.gov/pubmed/37362670 http://dx.doi.org/10.1007/s11042-023-15146-x |