Machine Learning for Evolution Strategies is popular PDF and ePub book, written by Oliver Kramer in 2016-05-25, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Machine Learning for Evolution Strategies can be Read Online from any device for your convenience.
Machine Learning for Evolution Strategies Book PDF Summary
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.
Detail Book of Machine Learning for Evolution Strategies PDF
- Author : Oliver Kramer
- Release : 25 May 2016
- Publisher : Springer
- ISBN : 9783319333830
- Genre : Technology & Engineering
- Total Page : 124 pages
- Language : English
- PDF File Size : 17,7 Mb
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