PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints. - Jörn Grahl; Franz Rothlauf (GECCO (1), 2004)

Behaviour of UMDAc with truncation selection on monotonous functions. - Jörn Grahl; Stefan Minner; Franz Rothlauf (Congress on Evolutionary Computation, 2005)

Genetic algorithms and mixed integer linear programs for optimal strategies in a student's "sports" activity. - Thomas Butter; Franz Rothlauf; Jörn Grahl; Tobias Hildenbrand; Jens Arndt (GECCO, 2006)

The correlation-triggered adaptive variance scaling IDEA. - Jörn Grahl; Peter A. N. Bosman; Franz Rothlauf (GECCO, 2006)

Genetic Algorithms for Finding Optimal Strategies for a Student's Game. - Thomas Butter; Franz Rothlauf; Jörn Grahl; Tobias Hildenbrand; Jens Arndt (CIG, 2007)

SDR: a better trigger for adaptive variance scaling in normal EDAs. - Peter A. N. Bosman; Jörn Grahl; Franz Rothlauf (GECCO, 2007)

Convergence phases, variance trajectories, and runtime analysis of continuous EDAs. - Jörn Grahl; Peter A. N. Bosman; Stefan Minner (GECCO, 2007)

Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms. - Jörn Grahl; Stefan Minner; Peter A. N. Bosman (Advances in Metaheuristics for Hard Optimization, 2008)

Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift. - Peter A. N. Bosman; Jörn Grahl; Dirk Thierens (PPSN, 2008)

Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms. - Peter A. N. Bosman; Jörn Grahl (Eur. J. Oper. Res., 2008)

AMaLGaM IDEAs in noiseless black-box optimization benchmarking. - Peter A. N. Bosman; Jörn Grahl; Dirk Thierens (GECCO (Companion), 2009)

AMaLGaM IDEAs in noisy black-box optimization benchmarking. - Peter A. N. Bosman; Jörn Grahl; Dirk Thierens (GECCO (Companion), 2009)

Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise. - Peter A. N. Bosman; Jörn Grahl; Dirk Thierens (Evol. Comput., 2013)

An implicitly parallel EDA based on restricted boltzmann machines. - Malte Probst; Franz Rothlauf; Jörn Grahl (GECCO, 2014)

Problem Complexity in Parallel Problem Solving. - Sebastian Herrmann; Jörn Grahl; Franz Rothlauf (CoRR, 2014)

Meta-heuristics for placing strategic safety stock in multi-echelon inventory with differentiated service times. - Jörn Grahl; Stefan Minner; Daniel Dittmar (Ann. Oper. Res., 2016)

Collaboration Networks in the Music Industry. - Pascal Budner; Jörn Grahl (CoRR, 2016)

Scalability of using Restricted Boltzmann Machines for combinatorial optimization. - Malte Probst; Franz Rothlauf; Jörn Grahl (Eur. J. Oper. Res., 2017)

Exploring User Heterogeneity in Human Delegation Behavior towards AI. - Andreas Fügener; Jörn Grahl; Alok Gupta; Wolfgang Ketter; Anna Taudien (ICIS, 2021)

Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AI. - Andreas Fügener; Jörn Grahl; Alok Gupta; Wolfgang Ketter (MIS Q., 2021)

Cognitive Challenges in Human-Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation. - Andreas Fügener; Jörn Grahl; Alok Gupta; Wolfgang Ketter (Inf. Syst. Res., 2022)

How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment. - Xitong Li; Jörn Grahl; Oliver Hinz (Inf. Syst. Res., 2022)