Recombination Weight Based Selection in the DTS-CMA-ES
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-14721-0_21
Reference23 articles.
1. Auger, A., Brockhoff, D., Hansen, N.: Benchmarking the local metamodel CMA-ES on the noiseless BBOB’2013 test bed. In: Proceedings of the 15th Annual Conference Companion on Genetic and Evolutionary Computation, pp. 1225–1232 (2013)
2. Bajer, L., Pitra, Z., Holeňa, M.: Benchmarking gaussian processes and random forests surrogate models on the BBOB noiseless testbed. In: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pp. 1143–1150 (2015)
3. Bajer, L., Pitra, Z., Repickỳ, J., Holeňa, M.: Gaussian process surrogate models for the CMA evolution strategy. Evol. Comput. 27(4), 665–697 (2019)
4. Lecture Notes in Computer Science;Z Bouzarkouna,2010
5. Bouzarkouna, Z., Auger, A., Ding, D.Y.: Local-meta-model CMA-ES for partially separable functions. In: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, pp. 869–876 (2011)
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