| Differential evolution for multiobjective optimization T Robič, B Filipič International conference on evolutionary multi-criterion optimization, 520-533, 2005 | 823 | 2005 |
| Spam filtering using statistical data compression models A Bratko, B Filipič, GV Cormack, TR Lynam, B Zupan The Journal of Machine Learning Research 7, 2673-2698, 2006 | 366 | 2006 |
| Genetic algorithms in controller design and tuning A Varsek, T Urbancic, B Filipic IEEE transactions on Systems, Man, and Cybernetics 23 (5), 1330-1339, 1993 | 348 | 1993 |
| Visualization of Pareto front approximations in evolutionary multiobjective optimization: A critical review and the prosection method T Tušar, B Filipič IEEE Transactions on Evolutionary Computation 19 (2), 225-245, 2014 | 273 | 2014 |
| Differential evolution versus genetic algorithms in multiobjective optimization T Tušar, B Filipič International Conference on Evolutionary Multi-Criterion Optimization, 257-271, 2007 | 192 | 2007 |
| Noisy optimization problems-a particular challenge for differential evolution? T Krink, B Filipic, GB Fogel Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 171 | 2004 |
| The differential ant-stigmergy algorithm P Korošec, J Šilc, B Filipič Information Sciences 192, 82-97, 2012 | 127 | 2012 |
| Parameter tuning with Chess Rating System (CRS-Tuning) for meta-heuristic algorithms N Veček, M Mernik, B Filipič, M Črepinšek Information Sciences 372, 446-469, 2016 | 97 | 2016 |
| Gas‐filled cavity structures and local void fraction distribution in aerated stirred vessel A Bombač, I Žun, B Filipič, M Žumer AIChE journal 43 (11), 2921-2931, 1997 | 93 | 1997 |
| Spin label EPR-based characterization of biosystem complexity J Štrancar, T Koklic, Z Arsov, B Filipic, D Stopar, MA Hemminga Journal of Chemical Information and Modeling 45 (2), 394-406, 2005 | 89 | 2005 |
| Data management in the mirabel smart grid system M Boehm, L Dannecker, A Doms, E Dovgan, B Filipič, U Fischer, ... Proceedings of the 2012 Joint EDBT/ICDT Workshops, 95-102, 2012 | 88 | 2012 |
| Exploiting structural information for semi-structured document categorization A Bratko, B Filipič Information Processing & Management 42 (3), 679-694, 2006 | 79 | 2006 |
| GP-DEMO: differential evolution for multiobjective optimization based on Gaussian process models M Mlakar, D Petelin, T Tušar, B Filipič European Journal of Operational Research 243 (2), 347-361, 2015 | 76 | 2015 |
| Asynchronous master-slave parallelization of differential evolution for multi-objective optimization M Depolli, R Trobec, B Filipič Evolutionary computation 21 (2), 261-291, 2013 | 76 | 2013 |
| A comparative study of stochastic optimization methods in electric motor design T Tušar, P Korošec, G Papa, B Filipič, J Šilc Applied Intelligence 27, 101-111, 2007 | 67 | 2007 |
| Genetic-programming-based multi-objective optimization of strategies for home energy-management systems J Zupančič, B Filipič, M Gams Energy 203, 117769, 2020 | 64 | 2020 |
| Tuning EPR spectral parameters with a genetic algorithm B Filipič, J Štrancar Applied soft computing 1 (1), 83-90, 2001 | 57 | 2001 |
| A study of overfitting in optimization of a manufacturing quality control procedure T Tušar, K Gantar, V Koblar, B Ženko, B Filipič Applied Soft Computing 59, 77-87, 2017 | 48 | 2017 |
| An interactive genetic algorithm for controller parameter optimization B Filipič, D Juričić Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 1993 | 45 | 1993 |
| Using inductive machine learning to support decision making in machining processes B Filipič, M Junkar Computers in Industry 43 (1), 31-41, 2000 | 42 | 2000 |
