Kniha Machine Learning for Evolution Strategies Oliver Kramer

Machine Learning for Evolution Strategies

Autor: Oliver Kramer
Jazyk: Angličtina
Väzba: Pevná
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-13 dní
99.88
This book§introduces numerous algorithmic hybridizations between both worlds that show§how machine l...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2016
Stránok
124
EAN
9783319333816
ISBN
331933381X
Enbook ID
02972354
Hmotnosť
3317
Rozmery
155 x 235 x 14

Kompletný 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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