Machine Learning for Evolution Strategies

Language: English

Published by Springer, Springer Jun 2016, 2016

331933381X / 9783319333816

Series: Book 14 of 95 - Studies in Big Data

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This item is printed on demand - Print on Demand Titel. Neuware -This bookintroduces numerous algorithmic hybridizations between both worlds that showhow machine learning can improve and support evolution strategies. The set ofmethods comprises covariance matrix estimation, meta-modeling of fitness andconstraint functions, dimensionality reduction for search and visualization ofhigh-dimensional optimization processes, and clustering-based niching. Aftergiving an introduction to evolution strategies and machine learning, the bookbuilds the bridge between both worlds with an algorithmic and experimentalperspective. Experiments mostly employ a (1+1)-ES and are implemented in Pythonusing the machine learning library scikit-learn. The examples are conducted ontypical benchmark problems illustrating algorithmic concepts and theirexperimental behavior. The book closes with a discussion of related lines ofresearch.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.

Seller Inventory # 9783319333816

Title
Machine Learning for Evolution Strategies
Author
Oliver Kramer
Publisher
Springer, Springer Jun 2016
Publication year
2016
Condition
Neu
Binding
Buch
Language
English
ISBN 10
331933381X
ISBN 13
9783319333816
Item weight
377 grams
Dimensions
241x160x14 mm
Series
Book 14 of 95: Studies in Big Data

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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