| Differential evolution for multiobjective optimization T Robič, B Filipič International conference on evolutionary multi-criterion optimization, 520-533, 2005 | 686 | 2005 |
| Differential evolution versus genetic algorithms in multiobjective optimization T Tušar, B Filipič International Conference on Evolutionary Multi-Criterion Optimization, 257-271, 2007 | 151 | 2007 |
| 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 | 149 | 2014 |
| COCO: A platform for comparing continuous optimizers in a black-box setting N Hansen, A Auger, R Ros, O Mersmann, T Tušar, D Brockhoff Optimization Methods and Software, 1-31, 2020 | 136 | 2020 |
| COCO: performance assessment N Hansen, A Auger, D Brockhoff, D Tušar, T Tušar arXiv preprint arXiv:1605.03560, 2016 | 67 | 2016 |
| A comparative study of stochastic optimization methods in electric motor design T Tušar, P Korošec, G Papa, B Filipič, J Šilc Applied Intelligence 27 (2), 101-111, 2007 | 65 | 2007 |
| 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 | 56 | 2015 |
| 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 | 49 | 2012 |
| COCO: the bi-objective black box optimization benchmarking (bbob-biobj) test suite T Tušar, D Brockhoff, N Hansen, A Auger ArXiv e-prints, 2016 | 40* | 2016 |
| COCO: A platform for comparing continuous optimizers in a black-box setting. ArXiv e-prints N Hansen, A Auger, O Mersmann, T Tušar, D Brockhoff arXiv preprint arXiv:1603.08785 172, 2016 | 30 | 2016 |
| COCO: The experimental procedure N Hansen, T Tusar, O Mersmann, A Auger, D Brockhoff arXiv preprint arXiv:1603.08776, 2016 | 25 | 2016 |
| Preliminary numerical experiments in multiobjective optimization of a metallurgical production process B Filipic, T Tušar, E Laitinen Informatica 31 (2), 2007 | 25 | 2007 |
| Comparing solutions under uncertainty in multiobjective optimization M Mlakar, T Tušar, B Filipič Mathematical Problems in Engineering 2014, 2014 | 23 | 2014 |
| Visualizing 4D approximation sets of multiobjective optimizers with prosections T Tušar, B Filipič Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 21 | 2011 |
| Biobjective performance assessment with the COCO platform D Brockhoff, T Tušar, D Tušar, T Wagner, N Hansen, A Auger arXiv preprint arXiv:1605.01746, 2016 | 18 | 2016 |
| Discovering comfortable driving strategies using simulation-based multiobjective optimization E Dovgan, T Tušar, M Javorski, B Filipič Informatica 36 (3), 2012 | 18 | 2012 |
| Intelligent High-Security Access Control M Gams, T Tušar Informatica 31 (4), 2007 | 18 | 2007 |
| 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 | 17 | 2017 |
| Optimizing accuracy and size of decision trees T Tušar Sixteenth International Electrotechnical and Computer Science Conference-ERK …, 2007 | 17 | 2007 |
| Discovering driving strategies with a multiobjective optimization algorithm E Dovgan, M Javorski, T Tušar, M Gams, B Filipič Applied soft computing 16, 50-62, 2014 | 16 | 2014 |
