You might also like

More about Machine Learning for Evolution Strategies

• Book details
• Synopsis
• Trending among others

You get 249 loyalty points

Book 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.§

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Machine Learning for Evolution Strategies
• Author: Oliver Kramer
• Language: English
• Binding: Hardback
• Number of pages: 124
• EAN: 9783319333816
• ISBN: 331933381X
• ID: 02972354
• Publisher: Springer International Publishing AG
• Weight: 3317 g
• Dimensions: 235 × 155 × 14 mm
• Date of publishing: 26. May 2016

Trending among others

---

---

---