| Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009 N Hansen, A Auger, R Ros, S Finck, P Poąík Proceedings of the 12th annual conference companion on Genetic and …, 2010 | 518 | 2010 |
| A comparison of global search algorithms for continuous black box optimization P Poąík, W Huyer, L Pál Evolutionary computation 20 (4), 509-541, 2012 | 77 | 2012 |
| Real-parameter optimization using the mutation step co-evolution P Posik 2005 IEEE Congress on Evolutionary Computation 1, 872-879, 2005 | 77 | 2005 |
| Benchmarking state-of-the-art symbolic regression algorithms J ®egklitz, P Poąík Genetic programming and evolvable machines 22 (1), 5-33, 2021 | 39 | 2021 |
| Preventing premature convergence in a simple EDA via global step size setting P Poąík International Conference on Parallel Problem Solving from Nature, 549-558, 2008 | 37 | 2008 |
| Jade, an adaptive differential evolution algorithm, benchmarked on the bbob noiseless testbed P Poąík, V Klemą Proceedings of the 14th annual conference companion on Genetic and …, 2012 | 30 | 2012 |
| BBOB-benchmarking a simple estimation of distribution algorithm with Cauchy distribution P Poąík Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009 | 26 | 2009 |
| Innovative default prediction approach J Bemą, O Starý, M Macaą, J ®egklitz, P Poąík Expert Systems with Applications 42 (17-18), 6277-6285, 2015 | 22 | 2015 |
| Restarted local search algorithms for continuous black box optimization P Poąík, W Huyer Evolutionary computation 20 (4), 575-607, 2012 | 21 | 2012 |
| Dimension selection in axis-parallel brent-step method for black-box optimization of separable continuous functions P Poąík, P Baudią Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 20 | 2015 |
| Online black-box algorithm portfolios for continuous optimization P Baudią, P Poąík International Conference on Parallel Problem Solving from Nature, 40-49, 2014 | 19 | 2014 |
| BBOB-benchmarking the DIRECT global optimization algorithm P Poąík Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009 | 17 | 2009 |
| Benchmarking the differential evolution with adaptive encoding on noiseless functions P Poąík, V Klemą Proceedings of the 14th annual conference companion on Genetic and …, 2012 | 15 | 2012 |
| Estimation of fitness landscape contours in EAs P Poąík, V Franc Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 15 | 2007 |
| Model selection and overfitting in genetic programming: Empirical study J ®egklitz, P Poąík Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 14 | 2015 |
| BBOB-benchmarking two variants of the line-search algorithm P Poąík Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009 | 14 | 2009 |
| BBOB-benchmarking the generalized generation gap model with parent centric crossover P Poąík Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009 | 14 | 2009 |
| Symbolic regression algorithms with built-in linear regression J ®egklitz, P Poąík arXiv preprint arXiv:1701.03641, 2017 | 12 | 2017 |
| A comparative study: the effect of the perturbation vector type in the differential evolution algorithm on the accuracy of robot pose and heading estimation J Moravec, P Poąík Evolutionary Intelligence 6, 171-191, 2014 | 11 | 2014 |
| Global line search algorithm hybridized with quadratic interpolation and its extension to separable functions P Baudią, P Poąík Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015 | 10 | 2015 |
Nikolaus HansenInria & Ecole Polytechnique & Institut Polytechnique de Paris, FranceE-mail megerősítve itt: Inria.fr
