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Anotace knihy

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.§

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Machine Learning for Evolution Strategies
• Autor: Oliver Kramer
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 124
• EAN: 9783319333816
• ISBN: 331933381X
• ID: 02972354
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 3317 g
• Rozměry: 235 × 155 × 14 mm
• Datum vydání: 26. May 2016

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