Machine Learning for Evolution Strategies
This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Kramer, Oliver (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
Edición: | 1st ed. 2016. |
Colección: | Studies in Big Data,
20 |
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Recent Developments and New Direction in Soft-Computing Foundations and Applications Selected Papers from the 4th World Conference on Soft Computing, May 25-27, 2014, Berkeley /
Publicado: (2016) -
Fifty Years of Fuzzy Logic and its Applications
Publicado: (2015) -
Proceedings of ELM-2015 Volume 1 Theory, Algorithms and Applications (I) /
Publicado: (2016) -
Proceedings of ELM-2015 Volume 2 Theory, Algorithms and Applications (II) /
Publicado: (2016) -
Rule Based Systems for Big Data A Machine Learning Approach /
por: Liu, Han, et al.
Publicado: (2016)