Machine Learning For Evolution Strategies(1st Edition)

Authors:

Oliver Kramer

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 1 Left

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Book details

ISBN: 331933381X, 978-3319333816

Book publisher: Springer

Book Price $0 : 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.