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

Libro 20 de 108: Studies in Big Data

Kramer, Oliver

 
9783319333816: Machine Learning for Evolution Strategies: 20 (Studies in Big Data, 20)
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ISBN 10: 331933381X ISBN 13: 9783319333816
Editorial: Springer, 2016

Sinopsis

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.

"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
2016
Idioma
Inglés
ISBN 10 
331933381X
ISBN 13 
9783319333816
Encuadernación
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Número de edición
1
Número de páginas
136
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Alemania

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9783319815008: Machine Learning for Evolution Strategies: 20 (Studies in Big Data)

Edición Destacada

ISBN 10:  3319815008 ISBN 13:  9783319815008
Editorial: Springer, 2018
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