The importance of landscape features for performance prediction of modular CMA-ES variants
Author:
Affiliation:
1. Jožef Stefan Institute &, Ljubljana, Slovenia
2. Leiden Institute for Advanced Computer Science, Leiden, The Netherlands
3. Jožef Stefan Institute, Ljubljana, Slovenia
4. Sorbonne Université, Paris, France
Funder
Slovenian Research Agency
Paris Ile-de-France region
European Commission
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3512290.3528832
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5. Per instance algorithm configuration of CMA-ES with limited budget
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