Algorithm configuration data mining for CMA evolution strategies


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Submitted by sjvrijn

Oct. 18, 2021, 7:46 a.m.

Algorithm configuration data mining for CMA evolution strategies

Sander van Rijn, Hao Wang, Bas van Stein, Thomas Bäck
Sander van Rijn, Hao Wang, Bas van Stein, and Thomas Bäck. 2017. Algorithm configuration data mining for CMA evolution strategies. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '17). ACM, New York, NY, USA, 737-744. DOI: https://doi.org/10.1145/3071178.3071205
DOI:  10.1145/3071178.3071205        


  Mean reproducibility score:   10.0/10   |   Number of reviews:   1

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Resources

  Paper URL: https://dl.acm.org/citation.cfm?id=3071205
  Data URL: https://github.com/sjvrijn/cma-es-configuration-data-mining/tree/master/arff
  Code URL: https://github.com/sjvrijn/cma-es-configuration-data-mining
Tags: Python HPC Computer Science

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