An Improved Grey Wolf Optimizer and Its Application in Robot Path Planning

This paper discusses a hybrid grey wolf optimizer utilizing a clone selection algorithm (pGWO-CSA) to overcome the disadvantages of a standard grey wolf optimizer (GWO), such as slow convergence speed, low accuracy in the single-peak function, and easily falling into local optimum in the multi-peak...

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Detalles Bibliográficos
Autores principales: Ou, Yun, Yin, Pengfei, Mo, Liping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944837/
https://www.ncbi.nlm.nih.gov/pubmed/36810415
http://dx.doi.org/10.3390/biomimetics8010084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944837/
https://www.ncbi.nlm.nih.gov/pubmed/36810415
http://dx.doi.org/10.3390/biomimetics8010084

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