Machine Learning for Evolution Strategies

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...

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Detaylı Bibliyografya
Yazar: Kramer, Oliver (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:Studies in Big Data, 20
Konular:
Computational intelligence.
Computer simulation.
Data mining.
System theory.
Artificial intelligence.
Computational Intelligence.
Computer Modelling.
Data Mining and Knowledge Discovery.
Complex Systems.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • Part I Evolution Strategies
  • Part II Machine Learning
  • Part III Supervised Learning.

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