| Meta learning in multi-agent systems for data mining O Kazík, K Peskova, M Pilát, R Neruda Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC …, 2011 | 36 | 2011 |
| Aggregate meta-models for evolutionary multiobjective and many-objective optimization M Pilát, R Neruda Neurocomputing 116, 392-402, 2013 | 30 | 2013 |
| ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model M Pilát, R Neruda Evolutionary Computation (CEC), 2011 IEEE Congress on, 1202-1208, 2011 | 30 | 2011 |
| Incorporating user preferences in MOEA/D through the coevolution of weights M Pilát, R Neruda Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 24 | 2015 |
| An evolutionary strategy for surrogate-based multiobjective optimization M Pilát, R Neruda Evolutionary Computation (CEC), 2012 IEEE Congress on, 1-7, 2012 | 20 | 2012 |
| Feature extraction for surrogate models in genetic programming M Pilát, R Neruda Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 17 | 2016 |
| Hypervolume-based local search in multi-objective evolutionary optimization M Pilát, R Neruda Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 15 | 2014 |
| Evolutionary Multiobjective Optimization: A Short Survey of the State-of-the-art M Pilát WDS 2010-Proceedings of Contributed Papers. Proceedings of the 19th Annual …, 2010 | 15 | 2010 |
| Combining multiobjective and single-objective genetic algorithms in heterogeneous island model M Pilát, R Neruda Evolutionary Computation (CEC), 2010 IEEE Congress on, 1-8, 2010 | 12 | 2010 |
| Controlling the Charging of Electric Vehicles with Neural Networks M Pilát 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 11 | 2018 |
| Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming T Křen, M Pilát, R Neruda International Journal on Artificial Intelligence Tools 26 (05), 1760020, 2017 | 11 | 2017 |
| Asynchronous evolution of data mining workflow schemes by strongly typed genetic programming M Pilát, T Křen, R Neruda 2016 IEEE 28th International Conference on Tools with Artificial …, 2016 | 11 | 2016 |
| Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms M Pilát, R Neruda Machine Learning and Applications (ICMLA), 2012 11th International …, 2012 | 10 | 2012 |
| Implementation of parameter space search for meta learning in a data-mining multi-agent system O Kazík, K Peskova, M Pilát, R Neruda Machine Learning and Applications and Workshops (ICMLA), 2011 10th …, 2011 | 10 | 2011 |
| Parallel evolutionary algorithm with interleaving generations M Pilát, R Neruda Proceedings of the Genetic and Evolutionary Computation Conference, 865-872, 2017 | 9 | 2017 |
| Improving many-objective optimizers with aggregate meta-models M Pilát, R Neruda 2011 11th International Conference on Hybrid Intelligent Systems (HIS), 555-560, 2011 | 8 | 2011 |
| Planning and Acting with Non-deterministic Events: Navigating between Safe States L Chrpa, J Gemrot, M Pilát | 7 | 2020 |
| The effect of different local search algorithms on the performance of multi-objective optimizers M Pilát, R Neruda 2014 IEEE Congress on Evolutionary Computation (CEC), 2172-2179, 2014 | 7 | 2014 |
| Surrogate Model Selection for Evolutionary Multiobjective Optimization M Pilát, R Neruda Evolutionary Computation (CEC), 2013 IEEE Congress on, 1860-1867, 2013 | 7 | 2013 |
| A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection M Pilát, R Neruda Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International …, 2012 | 7 | 2012 |
Roman NerudaResearcher at Institute of Computer Science, Czech Academy of SciencesVerified email at cs.cas.cz
