Items related to Machine Learning for Evolution Strategies (Studies...
Synopsis
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.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2016
- ISBN 10 331933381X
- ISBN 13 9783319333816
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages133
Search results for Machine Learning for Evolution Strategies (Studies...
Stock Image
Machine Learning in Evolution Strategies.
Published by
Cham, Springer International Publishing; : Springer., 2016
ISBN 10: 331933381X
ISBN 13: 9783319333816
Used
Hardcover
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Seller rating 4 out of 5 stars
23.5 cm x 15.5 cm, 0 g. VII, 124 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Big Data ; 20. Sprache: Englisch. Seller Inventory # 41532HB
Quantity: 3 available
Stock Image
Machine Learning for Evolution Strategies (Studies in Big Data, 20)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar3113020093548
Quantity: Over 20 available
Seller Image
Machine Learning for Evolution Strategies
Published by
Springer International Publishing Jun 2016, 2016
ISBN 10: 331933381X
ISBN 13: 9783319333816
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 136 pp. Englisch. Seller Inventory # 9783319333816
Quantity: 2 available
Stock Image
Machine Learning for Evolution Strategies (Studies in Big Data, 20)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9783319333816_new
Quantity: Over 20 available
Seller Image
Machine Learning for Evolution Strategies
Published by
Springer International Publishing, 2016
ISBN 10: 331933381X
ISBN 13: 9783319333816
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783319333816
Quantity: 1 available
Seller Image
Machine Learning in Evolution Strategies
Published by
Springer International Publishing, 2016
ISBN 10: 331933381X
ISBN 13: 9783319333816
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State of the art presentation of Machine Learning in Evolution StrategiesCondensed presentationShort introduction and recent researchThis bookintroduces numerous algorithmic hybridizations between both worlds that showhow machine. Seller Inventory # 119052186
Quantity: Over 20 available
Stock Image
Machine Learning for Evolution Strategies
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 136 pages. 9.25x6.25x0.50 inches. In Stock. Seller Inventory # x-331933381X
Quantity: 2 available