Publikace
- Hypervolume-Based Surrogate Model for MO-CMA-ES2015 | Matematicko-fyzikální fakulta
- The effect of different local search algorithms on the performance of multi-objective optimizers2014 | Matematicko-fyzikální fakulta
- Hypervolume-based local search in multi-objective evolutionary optimization2014 | Matematicko-fyzikální fakulta
- A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results2013 | Matematicko-fyzikální fakulta
- Meta-Learning and Model Selection in Multiobjective Evolutionary Algorithms2012 | Matematicko-fyzikální fakulta
- A Surrogate Multiobjective Evolutionary Strategy with Local Search and Pre-Selection2012 | Matematicko-fyzikální fakulta
- Planning and acting in dynamic environments: identifying and avoiding dangerous situations2022 | Matematicko-fyzikální fakulta
- Using graph neural networks as surrogate models in genetic programming2022 | Matematicko-fyzikální fakulta
- Implementing and evaluating parallel evolutionary algorithms in modern GPU computing libraries2022 | Matematicko-fyzikální fakulta
- Training Electric Vehicle Charging Controllers with Imitation Learning2021 | Matematicko-fyzikální fakulta
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