| Differential evolution for multiobjective optimization T Robič, B Filipič Evolutionary Multi-Criterion Optimization: Third International Conference …, 2005 | 769 | 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 | 351 | 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 | 333 | 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 | 216 | 2014 |
| Differential evolution versus genetic algorithms in multiobjective optimization T Tušar, B Filipič Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007 | 174 | 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 | 119 | 2012 |
| 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 | 90 | 2005 |
| 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 | 90 | 1997 |
| 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 | 82 | 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 | 80 | 2016 |
| Asynchronous master-slave parallelization of differential evolution for multi-objective optimization M Depolli, R Trobec, B Filipič Evolutionary computation 21 (2), 261-291, 2013 | 73 | 2013 |
| 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 | 72 | 2015 |
| Exploiting structural information for semi-structured document categorization A Bratko, B Filipič Information Processing & Management 42 (3), 679-694, 2006 | 71 | 2006 |
| 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 | 62 | 2007 |
| Tuning EPR spectral parameters with a genetic algorithm B Filipič, J Štrancar Applied soft computing 1 (1), 83-90, 2001 | 56 | 2001 |
| An interactive genetic algorithm for controller parameter optimization B Filipič, D Juričić Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 1993 | 42 | 1993 |
| Phase discrimination in void fraction measurements via genetic algorithms I Žun, B Filipič, M Perpar, A Bombač Review of scientific instruments 66 (10), 5055-5064, 1995 | 39 | 1995 |
| Increasing the stability of the deep drawing process by simulation-based optimization G Gantar, K Kuzman, B Filipič Journal of Materials Processing Technology 164, 1343-1350, 2005 | 38 | 2005 |
| 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 | 35 | 2017 |
