Machine Learning for Evolution Strategies Paperback / softback
by OLIVER KRAMER
Part of the Studies in Big Data series
Paperback / softback
Description
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:124 pages, 38 Illustrations, color; IX, 124 p. 38 illus. in color.
- Publisher:Springer International Publishing AG
- Publication Date:30/05/2018
- Category:
- ISBN:9783319815008
Other Formats
- Hardback from £95.55
- PDF from £76.08
Information
-
Out of stock
- Format:Paperback / softback
- Pages:124 pages, 38 Illustrations, color; IX, 124 p. 38 illus. in color.
- Publisher:Springer International Publishing AG
- Publication Date:30/05/2018
- Category:
- ISBN:9783319815008
