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Książka Machine Learning for Evolution Strategies Oliver Kramer

Machine Learning for Evolution Strategies

Autor: Oliver Kramer
Język: Angielski
Oprawa: Miękka
Wydawca: Springer International Publishing AG
Dostępność: Dostępna u dostawcy w małych ilościach
Wysyłamy za 13-18 dni
470.91 zł
This book introduces numerous algorithmic hybridizations between both worlds that show how machine l...

Informacje o książce

Autor
Oliver Kramer
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2018
strony
124
EAN
9783319815008
ISBN
9783319815008
Enbook ID
19703722
Wydawca
Springer International Publishing AG
Waga
2175
Wymiary
155 x 235 x 7

Pełny opis

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.

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