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Könyv Machine Learning for Evolution Strategies Oliver Kramer

Machine Learning for Evolution Strategies

Szerző: Oliver Kramer
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer International Publishing AG
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 13-18 napon belül
40 382 Ft
This book introduces numerous algorithmic hybridizations between both worlds that show how machine l...

Információk a könyvről

Szerző
Oliver Kramer
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2018
oldal
124
EAN
9783319815008
ISBN
9783319815008
Enbook ID
19703722
Kiadó
Springer International Publishing AG
Súly
2175
Méretek
155 x 235 x 7

Teljes leírás

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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