Machine Learning for Evolution Strategies (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
124
Utgivningsdatum
2016-05-26
Upplaga
1st ed. 2016
Förlag
Springer International Publishing AG
Illustratör/Fotograf
Bibliographie
Illustrationer
38 Illustrations, color; IX, 124 p. 38 illus. in color.
Dimensioner
234 x 156 x 10 mm
Vikt
372 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9783319333816
Machine Learning for Evolution Strategies (inbunden)

Machine Learning for Evolution Strategies

Inbunden Engelska, 2016-05-26
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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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Part I Evolution Strategies.- Part II Machine Learning.- Part III Supervised Learning.