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Kniha Machine Learning for Evolution Strategies Oliver Kramer

Machine Learning for Evolution Strategies

Autor: Oliver Kramer
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer International Publishing AG
Dostupnost: Skladem u dodavatele v malém množství
Odesíláme za 13-18 dnů
2 567 Kč
This book introduces numerous algorithmic hybridizations between both worlds that show how machine l...

Informace o knize

Autor
Oliver Kramer
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2018
Stránek
124
EAN
9783319815008
ISBN
9783319815008
Enbook ID
19703722
Vydavatel
Springer International Publishing AG
Hmotnost
2175
Rozměry
155 x 235 x 7

Kompletní popis

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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