Boosting Slime Mould Algorithm for High-Dimensional Gene Data Mining: Diversity Analysis and Feature Selection

Slime mould algorithm (SMA) is a new metaheuristic algorithm, which simulates the behavior and morphology changes of slime mould during foraging. The slime mould algorithm has good performance; however, the basic version of SMA still has some problems. When faced with some complex problems, it may f...

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Detalles Bibliográficos
Autores principales: Qiu, Feng, Guo, Ran, Chen, Huiling, Liang, Guoxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584684/
https://www.ncbi.nlm.nih.gov/pubmed/36277020
http://dx.doi.org/10.1155/2022/8011003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584684/
https://www.ncbi.nlm.nih.gov/pubmed/36277020
http://dx.doi.org/10.1155/2022/8011003

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