New features for continuous exploratory landscape analysis based on the SOO tree
Author:
Affiliation:
1. Univ. Lille, France
2. Université du Littorale Côte d'Opale, LISIC, France
3. Shinshu University, Nagano, Japan
Publisher
ACM Press
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4. N. Belkhir, J. Dréo, P. Savéant, and M. Schoenauer. Per instance algorithm configuration of CMA-ES with limited budget. In GECCO, pages 681--688, 2017.
5. B. Bischl, O. Mersmann, H. Trautmann, and M. Preuss. Algorithm selection based on exploratory landscape analysis and cost-sensitive learning. In GECCO, pages 313--320, Philadelphia, USA, 2012. ACM.
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