Cargando…
Investigating the parameter space of evolutionary algorithms
Evolutionary computation (EC) has been widely applied to biological and biomedical data. The practice of EC involves the tuning of many parameters, such as population size, generation count, selection size, and crossover and mutation rates. Through an extensive series of experiments over multiple ev...
Autores principales: | Sipper, Moshe, Fu, Weixuan, Ahuja, Karuna, Moore, Jason H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816380/ https://www.ncbi.nlm.nih.gov/pubmed/29467825 http://dx.doi.org/10.1186/s13040-018-0164-x |
Ejemplares similares
-
Correction to: Investigating the parameter space of evolutionary algorithms
por: Sipper, Moshe, et al.
Publicado: (2019) -
Evolutionary computation: the next major transition of artificial intelligence?
por: Sipper, Moshe, et al.
Publicado: (2017) -
Artificial intelligence: more human with human
por: Sipper, Moshe, et al.
Publicado: (2017) -
Conservation machine learning
por: Sipper, Moshe, et al.
Publicado: (2020) -
Conservation machine learning: a case study of random forests
por: Sipper, Moshe, et al.
Publicado: (2021)