Author of the publication

Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES.

, , and . ITAT, volume 1422 of CEUR Workshop Proceedings, page 186-193. CEUR-WS.org, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization., , and . GECCO (Companion), page 1351-1352. ACM, (2015)Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks., and . IDEAL, volume 6283 of Lecture Notes in Computer Science, page 251-258. Springer, (2010)Gaussian process surrogate models for the CMA-ES., , , and . GECCO (Companion), page 17-18. ACM, (2019)Overview of surrogate-model versions of covariance matrix adaptation evolution strategy., , , and . GECCO (Companion), page 1622-1629. ACM, (2017)Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES., , and . ITAT, volume 1422 of CEUR Workshop Proceedings, page 186-193. CEUR-WS.org, (2015)Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models., , , and . CoRR, (2017)Two Gaussian Approaches to Black-Box Optomization., and . CoRR, (2014)Testing Gaussian Process Surrogates on CEC'2013 Multi-Modal Benchmark., , and . ITAT, volume 1649 of CEUR Workshop Proceedings, page 138-146. CEUR-WS.org, (2016)Surrogate Model for Mixed-Variables Evolutionary Optimization Based on GLM and RBF Networks., and . SOFSEM, volume 7741 of Lecture Notes in Computer Science, page 481-490. Springer, (2013)Using Copulas in Data Mining Based on the Observational Calculus., , and . IEEE Trans. Knowl. Data Eng., 27 (10): 2851-2864 (2015)