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Publications

Journal Articles

  • Mersmann, O., Bischl, B., Trautmann, H., Wagner, M., Bossek. J. and Neumann, F.  (2013): A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem, Annals of Mathematics and Artificial Intelligence, doi: 10.1007/s10472-013-9341-2
  • Rudolph, G., Trautmann, H. and Schütze, O. (2012): Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen, at - Automatisierungstechnik 60, pp. 610-621 
  • Trautmann, H., Wagner, T., Biermann, D. and Weihs, C. (2012): Indicator-Based Selection in Evolutionary Multiobjective Optimization Algorithms Based on the Desirability Index. Journal of Multi-Criteria Decision Analysis, forthcoming.
  • Bischl, B., Mersmann, O., Trautmann, M. and Weihs, C. (2012): Resampling Methods in Model Validation. Evolutionary Computation Journal 20 (2), pp. 249-275
  • Mersmann, O.,  Preuss, M., Trautmann, H., Bischl, B. and Weihs, C. (2012): Analyzing the BBOB Results by Means of Benchmarking Concepts. Evolutionary Computation Journal, forthcoming.
  • Naujoks, B., Trautmann, H., Wessing, S. and Weihs, C. (2011): Advanced Concepts for Multiobjective Evolutionary Optimisation in Aircraft Industry,   Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 225, pp. 1081-1096
  • Azene, Y., Roy, R., Farugia, D., Onisa, C., Mehnen, J., Trautmann, H. (2010): Work roll cooling system design optimisation in presence of uncertainty and constraints, CIRP Journal of Manufacturing Science and Technology 2, pp. 290-298
  • Wagner, T., and Trautmann, H. (2010): Integration of Preferences in Hypervolume-Based Multi-Objective Evolutionary Algorithms by Means of Desirability Functions, Special Issue: Preference-based Multiobjective Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation 14 (5), pp. 688-701
  • Trautmann, H., Wagner, T., Naujoks, B., Preuss, M., and Mehnen, J. (2009): Statistical Methods for Convergence Detection of Multiobjective Evolutionary Algorithms, Evolutionary Computation Journal 17(4), Special Issue: Twelve Years of EC Research in Dortmund,  pp. 493-509
  • Trautmann, H., and Mehnen, J. (2009): Statistical Methods for Improving Multi-objective Evolutionary Optimisation, International Journal of Computational Intelligence Research (IJCIR) 5 (2), pp. 72-78
  • Trautmann, H., and Mehnen, J. (2009): Preference-Based Pareto-Optimization in Certain and Noisy Environments, Engineering Optimization 41, pp. 23-28
  • Trautmann, H., and Weihs, C. (2006): On the Distribution of the Desirability Index using Harrington's Desirability Function, Metrika 63 (2), pp. 207-213.

 

 

Conference Papers (Reviewed)

  • Rudolph, G., Trautmann, H., Sengupta, S. and Schütze, O. (2013): Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation, in Purshouse, R. et al. (eds.), Evolutionary Muti-Criterion Optimization Conference (EMO 2013), Sheffield, UK, Springer LNCS 7811, pp. 443-458 
  • Wagner, T., Trautmann, H. and Brockhoff, D. (2013): Preference Articulation by Means of the R2 Indicator, in Purshouse, R. et al. (eds.), Evolutionary Muti-Criterion Optimization Conference (EMO 2013), Sheffield, UK, Springer LNCS 7811, pp. 81-95 
  • Nallaperuma, S., Wagner, M., Neumann, F., Bischl, B., Mersmann, O. and Trautmann, H. (2013): A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem, Proceedings, Foundations of Genetic Algorithms XII, Adelaide, Australia, forthcoming
  • Trautmann, H., Wagner, T. and Brockhoff, D. (2013): R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection, Learning and Intelligent Optimization, 6th International Conference, LION 7, Catania, Italy, Springer, LNCS, forthcoming
  • Trautmann, H., Rudolph, G., Dominguez-Medina, C., and Schütze, O. (2012): Finding evenly spaced pareto fronts for three-objective optimization problems, in: Evolve 2012 – A bridge between Probability, Set Oriented Numerics and Evolutionary Computation (II), Vol. 175 of Advances in Intelligent Systems and Computing, Springer, pp. 89-105
  • Bischl, B., Mersmann, O., Trautmann, H., and Preuss, M. (2012): Algorithm selection based on exploratory landscape analysis and cost-sensitive learning, in: In Proceedings of the 14th annual conference on Genetic and evolutionary computation, GECCO ’12, ACM, New York, NY, USA, pp. 313-320
  • Brockhoff, D., Wagner, T., and Trautmann, H. (2012): On the properties of the R2 indicator, in: Proceedings of the 14th annual conference on Genetic and evolutionary computation, GECCO ’12, ACM, New York, NY, USA, pp. 465-472
  • Mersmann, O., Bischl, B., Bossek, J., Trautmann, H., Wagner, M. and Neumann, F. (2012): Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness, Learning and Intelligent Optimization, 6th International Conference, LION 6, Paris, France,  Springer, LNCS, pp. 115-129
  • Gerstl, K., Rudolph, G., Schütze, O., and Trautmann, H. (2011): Finding Evenly Spaced Fronts for Multiobjective Control via Averaged Hausdorff-Measure, in: Pro. of the 8th International Conference on Electrical Engineering, Computer Science and Automatic Control (CCE 2011),  Mérida (Mexico), pp. 1-6
  • Mersmann, O., Bischl, B., Trautmann, H., Preuss, M., Weihs, C. and Rudolph, G. (2011): Exploratory Landscape Analysis, in Lanzi et al. (eds.): Proceedings of the 13th annual conference on Genetic and evolutionary computation, GECCO ’11, ACM, New York, NY, USA, pp. 829-836
  • Wagner, T., Trautmann, H., and Martí, L. (2011): A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms, in Takahashi, R. et al. (eds.), Evolutionary Muti-Criterion Optimization Conference (EMO 2011), Springer LNCS 6576, Berlin, pp. 16-30
  • Mersmann, O. ,  Preuss, M. and Trautmann, H. (2010): Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis, in: Schaefer, R. et al. : 11 th International Conference on Parallel Problem Solving from Nature (PPSN), LNCS 6238, Springer, pp. 73-82
  • Voss, T., Trautmann, H. and Igel, C. (2010): New Uncertainty Handling Strategies in Multi-Objective Evolutionary Optimization, in: Schaefer, R. et al. : 11 th International Conference on Parallel Problem Solving from Nature (PPSN), LNCS 6239, Springer, pp. 260-269
  • Mostaghim, S. and  Trautmann, H. and Mersmann, O. (2010): Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities, in: Schaefer, R. et al. : 11 th International Conference on Parallel Problem Solving from Nature (PPSN), LNCS 6239, Springer, pp. 101-110
  • Bischl, B., Mersmann, O. and Trautmann, H. (2010): Resampling methods in model validation. In T. Bartz-Beielstein, M. Chiarandini, L. Paquete, and M. Preuss, editors, WEMACS - Proceedings of the Workshop on Experimental Methods for the Assessment of Computational Systems, Technical Report TR 10-2-007. Department of Computer Science, TU Dortmund University
  • Wagner, T. and Trautmann, H. (2010): Online Convergence Detection for Multiobjective Evolutionary Algorithms Revisited, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC) 2010; Barcelona, Spain, IEEE Press, pp. 3554-3561
  • Mersmann,O., Trautmann, H., Naujoks, B. and Weihs, C. (2010): Benchmarking evolutionary multiobjective optimization algorithms, in:  Proceedings of the IEEE Congress on Evolutionary Computation (CEC) 2010; Barcelona, Spain, IEEE Press, pp. 1311-1318
  • Ding, J. , Wessing, S., Trautmann, H., Mehnen, J. and Naujoks, B. (2010): Sequential Parameter Optimisation for Multi-Objective Evolutionary Optimisation of Additive Layer Manufacturing, in: CIRP ICME ’10 - 7th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, Innovative and Cognitive Production Technology and Systems, R. Teti (ed.), 23 - 25 June 2010, Capri (Gulf of Naples), Italy, forthcoming
  • Mersmann, O., Trautmann, H., Naujoks, B., and Weihs, C. (2010): On the Distribution of EMOA Hypervolumes. Learning and Intelligent Optimization, 4th International Conference, LION 4, Venice, Italy, January 18-22, 2010, Springer, LNCS 6073, pp. 333-337
  • Trautmann, H., Mehnen, J., and Naujoks, B. (2009): Pareto-Dominance in Noisy Environments. In Tyrell, A. (ed.): Proceedings of the IEEE Congress on Evolutionary Computation (CEC) 2009; Trondheim, Norway, IEEE Press, pp. 3119-3126
  • Naujoks, B., and Trautmann, H. (2009): Online Convergence Detection for Multiobjective Aerodynamic Applications. In Tyrell, A. (ed.): Proceedings of the IEEE Congress on Evolutionary Computation (CEC) 2009; Trondheim, Norway, IEEE Press, pp. 332-339
  • Azene, Y. T., Roy, R., Farrugia, D., Onisa, C., Mehnen, J., Trautmann, H. (2009): Work Roll Cooling System Design Optimisation in Presence of Uncertainty, CIRP Design 2009 Conference, 30-31 March 2009, Cranfield University, UK; R. Roy, E. Shebab, ISBN 978-0-9557436-4-1, Cranfield University Press, pp 57-64.
  • Wagner, T., Trautmann, H., and Naujoks, B. (2009): OCD: Online Convergence Detection for Evolutionary Multi-objective Algorithms Based On Statistical Testing. In Ehrgott, M. et al. (eds.), Evolutionary Multi-Criterion Optimization Conference (EMO 2009). Springer LNCS 5467, Berlin, pp. 198-215
  • Trautmann, H., Ligges, U., Mehnen, J., and Preuss, M. (2008): A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing, 10th Int'l. Conference on Parallel Problem Solving from Nature (PPSN X), 13.-17.9.2008, Dortmund, pp. 825-836; Rudolph, G., Jansen, T., Lucas, S., and Poloni, C. (eds.), Springer, ISBN 978-3-540-87699-1
  • Mehnen, J., and Trautmann, H. (2008): Robust Multi-objective Optimisation of Weld Bead Geometry for Additive Manufacturing ,In: Proceedings of the 6th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME '08), Naples, Italy, ISBN 978-88-900948-7-3, pp. 419-424
  • Weihs, C. and Trautmann, H. (2007): Parallel Universes: Multi-Criteria Optimization, Dagstuhl Seminar Proceedings 07181, Parallel Universes and Local Patterns; M. R. Berthold, K. Morik und Siebes, A. (eds.), Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany.
  • Mehnen, J., Trautmann, H. and Tiwari, A. (2007): Introducing User Preference Using Desirability Functions in Multi-Objective Evolutionary Optimisation of Noisy Processes, CEC 2007, IEEE Congress on Evolutionary Computation, pp. 2687-2694, Kay Chen Tan, Jian-Xin Xu (eds.), IEEE Catalog Number: 07TH8963C, ISBN: 1-4244-1340-0, Library of Congress: 2007928155, 25 -- 28 September, Swissôtel The Stamford, Singapore, 2007.
  • Mehnen, J. and Trautmann, H. (2006): Integration of Expert's Preferences in Pareto Optimization by Desirability Function Techniques; In: Proceedings of the 5th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME '06), Ischia, Italy, R. Teti (ed.), pp. 293-298, Copyright C.O.C. Com. org. Conv. CIRP ICME '06, ISBN: 88-95028-01-5 978-88-95028-01-9, 25-28 July 2006.

 

PhD-Thesis

 

 

Technical Reports