| 2008 |
|---|
| 9 | EE | Peter A. N. Bosman,
Jörn Grahl,
Dirk Thierens:
Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift.
PPSN 2008: 133-143 |
| 8 | EE | Jörn Grahl,
Stefan Minner,
Peter A. N. Bosman:
Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms.
Advances in Metaheuristics for Hard Optimization 2008: 365-395 |
| 7 | EE | Peter A. N. Bosman,
Jörn Grahl:
Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms.
European Journal of Operational Research 185(3): 1246-1264 (2008) |
| 2007 |
|---|
| 6 | EE | Peter A. N. Bosman,
Jörn Grahl,
Franz Rothlauf:
SDR: a better trigger for adaptive variance scaling in normal EDAs.
GECCO 2007: 492-499 |
| 5 | EE | Jörn Grahl,
Peter A. N. Bosman,
Stefan Minner:
Convergence phases, variance trajectories, and runtime analysis of continuous EDAs.
GECCO 2007: 516-522 |
| 2006 |
|---|
| 4 | EE | Thomas Butter,
Franz Rothlauf,
Jörn Grahl,
Tobias Hildenbrand,
Jens Arndt:
Genetic algorithms and mixed integer linear programs for optimal strategies in a student's "sports" activity.
GECCO 2006: 1853-1854 |
| 3 | EE | Jörn Grahl,
Peter A. N. Bosman,
Franz Rothlauf:
The correlation-triggered adaptive variance scaling IDEA.
GECCO 2006: 397-404 |
| 2005 |
|---|
| 2 | EE | Jörn Grahl,
Stefan Minner,
Franz Rothlauf:
Behaviour of UMDAc with truncation selection on monotonous functions.
Congress on Evolutionary Computation 2005: 2553-2559 |
| 2004 |
|---|
| 1 | EE | Jörn Grahl,
Franz Rothlauf:
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints.
GECCO (1) 2004: 1174-1185 |
