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Machine Learning for Evolution Strategies

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...

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Bibliographic Details
Main Author:	Kramer, Oliver (Author)
Corporate Author:	SpringerLink (Online service)
Format:	e-Book
Language:	English
Published:	Cham : Springer International Publishing : 2016. Imprint: Springer,
Edition:	1st ed. 2016.
Series:	Studies in Big Data, 20
Subjects:	Computational intelligence. Computer simulation. Data mining. System theory. Artificial intelligence. Computational Intelligence. Computer Modelling. Data Mining and Knowledge Discovery. Complex Systems. Artificial Intelligence.
Online Access:	Full-text access

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