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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.§

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Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Machine Learning for Evolution Strategies
• Autor: Oliver Kramer
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 124
• EAN: 9783319333816
• ISBN: 331933381X
• ID: 02972354
• Nakladateľ: Springer International Publishing AG
• Hmotnosť: 3317 g
• Rozmery: 235 × 155 × 14 mm
• Dátum vydania: 26. May 2016

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