Publikace
- Testing Gaussian Process Surrogates on CEC'2013 multi-modal benchmark2016 | Matematicko-fyzikální fakulta
- Traditional Gaussian Process Surrogates in the BBOB Framework2016 | Matematicko-fyzikální fakulta
- Doubly Trained Evolution Control for the Surrogate CMA-ES2016 | Matematicko-fyzikální fakulta
- Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed2015 | Matematicko-fyzikální fakulta
- Investigation of Gaussian Processes and Random Forests As Surrogate Models for Evolutionary Black-Box Optimization2015 | Matematicko-fyzikální fakulta
- Using Copulas in Data Mining Based on the Observational Calculus2015 | Matematicko-fyzikální fakulta
- Towards Low-dimensional Gaussian Process Metamodels for CMA-ES2014 | Matematicko-fyzikální fakulta
- Surrogate Model for Mixed-Variables Evolutionary Optimization Based on GLM and RBF Networks2013 | Matematicko-fyzikální fakulta
- Improving the Model Guided Sampling Optimization by Model Search and Slice Sampling2013 | Matematicko-fyzikální fakulta
- RBF-based surrogate model for evolutionary optimization2012 | Matematicko-fyzikální fakulta
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