Hyper-parameter tuning for the (1 + ( λ, λ )) GA

Author:

Dang Nguyen1,Doerr Carola2

Affiliation:

1. University of St-Andrews, UK

2. Sorbonne Université, Paris, France

Funder

Engineering and Physical Sciences Research Council

European Cooperation in Science and Technology

Paris Ile-de-France Region

Agence Nationale de la Recherche

Publisher

ACM

Reference26 articles.

1. A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms

2. Ml4AAD Group at Freiburg University. {n. d.}. PyImp. https://github.com/automl/ParameterImportance. Ml4AAD Group at Freiburg University. {n. d.}. PyImp. https://github.com/automl/ParameterImportance.

3. HPCaVe Cluster at Sorbonne University. {n. d.}. http://hpcave.upmc.fr/index.php/resources/mesu-beta/. HPCaVe Cluster at Sorbonne University. {n. d.}. http://hpcave.upmc.fr/index.php/resources/mesu-beta/.

4. Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed

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