Machine Learning for Evolution Strategies

• Κύριος συγγραφέας: Kramer, Oliver (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Studies in Big Data, 20
• Θέματα: Engineering.; Data mining.; Artificial intelligence.; Computer simulation.; Sociophysics.; Econophysics.; Computational intelligence.; Computational Intelligence.; Simulation and Modeling.; Data Mining and Knowledge Discovery.; Socio- and Econophysics, Population and Evolutionary Models.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• Part I Evolution Strategies
• Part II Machine Learning
• Part III Supervised Learning.