The improved grasshopper optimization algorithm and its applications

Grasshopper optimization algorithm (GOA) proposed in 2017 mimics the behavior of grasshopper swarms in nature for solving optimization problems. In the basic GOA, the influence of the gravity force on the updated position of every grasshopper is not considered, which possibly causes GOA to have the...

Descripción completa

Detalles Bibliográficos
Autores principales: Qin, Peng, Hu, Hongping, Yang, Zhengmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660903/
https://www.ncbi.nlm.nih.gov/pubmed/34887483
http://dx.doi.org/10.1038/s41598-021-03049-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660903/
https://www.ncbi.nlm.nih.gov/pubmed/34887483
http://dx.doi.org/10.1038/s41598-021-03049-6

Ejemplares similares