Machine Learning for Evolution Strategies
tarafından
Kramer, Oliver. author.
Başlık
:
Machine Learning for Evolution Strategies
Yazar
:
Kramer, Oliver. author.
ISBN
:
9783319333830
Yazar
:
Kramer, Oliver. author.
Fiziksel Niteleme
:
IX, 124 p. 38 illus. in color. online resource.
Seri
:
Studies in Big Data, 20
İçindekiler
:
Part I Evolution Strategies -- Part II Machine Learning -- Part III Supervised Learning.
Özet
:
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.
Konu Başlığı
:
Engineering.
Data mining.
Artificial intelligence.
Computer simulation.
Sociophysics.
Econophysics.
Computational intelligence.
Simulation and Modeling.
Data Mining and Knowledge Discovery.
Socio- and Econophysics, Population and Evolutionary Models.
Artificial Intelligence (incl. Robotics).
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
---|
Electronic Book | 17844-1001 | Q342 | Springer E-Book Collection |