Machine Learning for Evolution Strategies: 20 (Studies in Big Data) - Tapa blanda

Libro 20 de 108: Studies in Big Data

Kramer, Oliver

 
9783319815008: Machine Learning for Evolution Strategies: 20 (Studies in Big Data)
Tapa blanda
ISBN 10: 3319815008 ISBN 13: 9783319815008
Editorial: Springer, 2018

Sinopsis

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 and visualization of high-dimensional optimization processes, and clustering-based niching. After giving an introduction to evolution strategies and machine learning, the book builds the bridge between both worlds with an algorithmic and experimental perspective. Experiments mostly employ a (1+1)-ES and are implemented in Python using the machine learning library scikit-learn. The examples are conducted on typical benchmark problems illustrating algorithmic concepts and their experimental behavior. The book closes with a discussion of related lines of research.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

This bookintroduces numerous algorithmic hybridizations between both worlds that showhow machine learning can improve and support evolution strategies. The set ofmethods comprises covariance matrix estimation, meta-modeling of fitness andconstraint functions, dimensionality reduction for search and visualization ofhigh-dimensional optimization processes, and clustering-based niching. Aftergiving an introduction to evolution strategies and machine learning, the bookbuilds the bridge between both worlds with an algorithmic and experimentalperspective. Experiments mostly employ a (1+1)-ES and are implemented in Pythonusing the machine learning library scikit-learn. The examples are conducted ontypical benchmark problems illustrating algorithmic concepts and theirexperimental behavior. The book closes with a discussion of related lines ofresearch.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3319815008
ISBN 13 
9783319815008
Encuadernación
Tapa blanda
Número de páginas
136
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

9783319333816: Machine Learning for Evolution Strategies: 20 (Studies in Big Data, 20)

Edición Destacada

ISBN 10:  331933381X ISBN 13:  9783319333816
Editorial: Springer, 2016
Tapa dura