Simulated Evolution and Learning, Tzai-Der Wang; Xiaodong Li; Xufa Wang

Автор: Kramer
Название: Machine Learning for Evolution Strategies
ISBN: 331933381X ISBN-13(EAN): 9783319333816
Издательство: Springer
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Цена: 16979.00 р.
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Описание: 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.

Автор: Xiaodong Li; Michael Kirley; Mengjie Zhang; Vic Ci
Название: Simulated Evolution and Learning
ISBN: 3540896937 ISBN-13(EAN): 9783540896937
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Constitutes the proceedings of the 7th International Conference on Simulated Evolution and Learning, SEAL 2008, held in Melbourne, Australia, during December 7-10, 2008. This volume covers topics such as evolutionary learning; evolutionary optimisation; hybrid learning; adaptive systems; and theoretical issues in evolutionary computation.