Cargando…
Elitist Binary Wolf Search Algorithm for Heuristic Feature Selection in High-Dimensional Bioinformatics Datasets
Due to the high-dimensional characteristics of dataset, we propose a new method based on the Wolf Search Algorithm (WSA) for optimising the feature selection problem. The proposed approach uses the natural strategy established by Charles Darwin; that is, ‘It is not the strongest of the species that...
Autores principales: | Li, Jinyan, Fong, Simon, Wong, Raymond K., Millham, Richard, Wong, Kelvin K. L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489518/ https://www.ncbi.nlm.nih.gov/pubmed/28659577 http://dx.doi.org/10.1038/s41598-017-04037-5 |
Ejemplares similares
-
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification
por: Li, Jinyan, et al.
Publicado: (2016) -
Genetic algorithm with a crossover elitist preservation mechanism for protein–ligand docking
por: Guan, Boxin, et al.
Publicado: (2017) -
Pejorative Drift of Medical Words: Geriatric, Elitist
por: Baron, J H
Publicado: (1994) -
An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization
por: Yang, Zhen-Lun, et al.
Publicado: (2015) -
Path Planning Algorithm for Multi-Locomotion Robot Based on Multi-Objective Genetic Algorithm with Elitist Strategy
por: Liu, Chong, et al.
Publicado: (2022)