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Books > Computing & IT > Applications of computing > Artificial intelligence
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Machine Learning for Evolution Strategies (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R3,127
Discovery Miles 31 270
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Machine Learning for Evolution Strategies (Paperback, Softcover reprint of the original 1st ed. 2016)
Series: Studies in Big Data, 20
Expected to ship within 10 - 15 working days
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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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