OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing
T. Wagner, H. Trautmann, B. Naujoks, in: M. Ehrgott, C.M. Fonseca, X. Gandibleux, J.-K. Hao, M. Sevaux (Eds.), Evolutionary Multi-Criterion Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, pp. 198–215.

Pareto-dominance in noisy environments
H. Trautmann, J. Mehnen, B. Naujoks, in: 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 3119–3126.

Online convergence detection for multiobjective aerodynamic applications
B. Naujoks, H. Trautmann, in: 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 332–339.

Statistical Methods for Improving Multi-objective Evolutionary Optimisation
H. Trautmann, J. Mehnen, International Journal of Computational Intelligence Research 5 (2009) 72–78.

Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms
H. Trautmann, T. Wagner, B. Naujoks, M. Preuss, J. Mehnen, Evolutionary Computation 17 (2009) 493–509.

Preference-based Pareto optimization in certain and noisy environments
H. Trautmann, J. Mehnen, Engineering Optimization 41 (2009) 23–38.

A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing
H. Trautmann, U. Ligges, J. Mehnen, M. Preuss, in: G. Rudolph, T. Jansen, N. Beume, S. Lucas, C. Poloni (Eds.), Parallel Problem Solving from Nature – PPSN X, Springer Berlin Heidelberg, Berlin, Heidelberg, 2008, pp. 825–836.

Robust Multi-objective Optimisation of Weld Bead Geometry for Additive Manufacturing
J. Mehnen, H. Trautmann, in: R. Teti (Ed.), Proceedings of the 6$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME ’08), Copyright C.O.C. Com. org. Conv., Naples, Italy, 2008.

Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes
J. Mehnen, H. Trautmann, A. Tiwari, in: 2007 IEEE Congress on Evolutionary Computation, 2007, pp. 2687–2694.

On the Distribution of the Desirability Index using Harrington’s Desirability Function
H. Trautmann, C. Weihs, Metrika 63 (2006) 207–213.

Integration of Expert’s Preferences in Pareto Optimization by Desirability Function Techniques
J. Mehnen, H. Trautmann, in: R. Teti (Ed.), CIRP ICME ’06) — Proceedings of the 5$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, C.O.C. Com. org. Conv. CIRP ICME ’06, Ischia, Italy, 2006, pp. 293–298.