| 2021 | ICIS | Exploring User Heterogeneity in Human Delegation Behavior towards AI. | Andreas Fgener, Jrn Grahl, Alok Gupta, Wolfgang Ketter, Anna Taudien |
| 2014 | GECCO | An implicitly parallel EDA based on restricted boltzmann machines. | Malte Probst, Franz Rothlauf, Jrn Grahl |
| 2009 | GECCO | AMaLGaM IDEAs in noiseless black-box optimization benchmarking. | Peter A. N. Bosman, Jrn Grahl, Dirk Thierens |
| 2009 | GECCO | AMaLGaM IDEAs in noisy black-box optimization benchmarking. | Peter A. N. Bosman, Jrn Grahl, Dirk Thierens |
| 2008 | PPSN | Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift. | Peter A. N. Bosman, Jrn Grahl, Dirk Thierens |
| 2007 | GECCO | SDR: a better trigger for adaptive variance scaling in normal EDAs. | Peter A. N. Bosman, Jrn Grahl, Franz Rothlauf |
| 2007 | GECCO | Convergence phases, variance trajectories, and runtime analysis of continuous EDAs. | Jrn Grahl, Peter A. N. Bosman, Stefan Minner |
| 2006 | GECCO | Genetic algorithms and mixed integer linear programs for optimal strategies in a student's "sports" activity. | Thomas Butter, Franz Rothlauf, Jrn Grahl, Tobias Hildenbrand, Jens Arndt |
| 2006 | GECCO | The correlation-triggered adaptive variance scaling IDEA. | Jrn Grahl, Peter A. N. Bosman, Franz Rothlauf |
| 2005 | CEC | Behaviour of UMDA | Jrn Grahl, Stefan Minner, Franz Rothlauf |
| 2004 | GECCO | PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints. | Jrn Grahl, Franz Rothlauf |