Machine Learning for Evolution Strategies (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
124
Utgivningsdatum
2018-05-30
Upplaga
Softcover reprint of the original 1st ed. 2016
Förlag
Springer International Publishing AG
Illustrationer
38 Illustrations, color; IX, 124 p. 38 illus. in color.
Dimensioner
234 x 156 x 7 mm
Vikt
200 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783319815008
Machine Learning for Evolution Strategies (häftad)

Machine Learning for Evolution Strategies

Häftad Engelska, 2018-05-30
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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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  1. Machine Learning for Evolution Strategies
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Part I Evolution Strategies.- Part II Machine Learning.- Part III Supervised Learning.