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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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| Lenguaje: | eng |
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Springer
2016
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-33383-0 http://cds.cern.ch/record/2157645 |