Machine Learning for Evolution Strategies

Name: Machine Learning for Evolution Strategies
Brand: Springer International Publishing AG
SKU: 9783319333816
Price: 2286 CZK
Availability: InStock

Autor: Oliver Kramer

Jazyk:

Vazba: Pevná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

2 286 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 - Pevná

Vydáno

2016

Stránek

124

EAN

9783319333816

ISBN

331933381X

Enbook ID

02972354

Vydavatel

Springer International Publishing AG

Hmotnost

3317

Rozměry

155 x 235 x 14

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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Machine Learning for Evolution Strategies

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