Machine Learning For Evolution Strategies by Oliver KramerMachine Learning For Evolution Strategies by Oliver Kramer

Machine Learning For Evolution Strategies

byOliver Kramer

Hardcover | June 6, 2016

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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.

Title:Machine Learning For Evolution StrategiesFormat:HardcoverDimensions:124 pagesPublished:June 6, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:331933381X

ISBN - 13:9783319333816

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Table of Contents

Part I Evolution Strategies.- Part II Machine Learning.- Part III Supervised Learning.