Publications

Tobias Glasmachers and Christian Igel. Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters. IEEE Transactions on Pattern Recognition and Machine Intelligence, accepted

Jan Salmen, Marc Schlipsing, and Christian Igel. Efficient Update of the Covariance Matrix Inverse in Iterated Linear Discriminant Analysis. Pattern Recognition Letters, accepted

Asja Fischer and Christian Igel. Bounding the Bias of Contrastive Divergence Used for Maximum Likelihood Learning in Restricted Boltzmann Machines. In: DAGStat2010, Deutsche Arbeitsgemeinschaft Statistik, accepted

Matthias Tuma and Christian Igel. Automatic Classification of Hydroacoustic Signals to Support Verification of the Comprehensive Nuclear-Test-Ban Treaty. In: DAGStat2010, Deutsche Arbeitsgemeinschaft Statistik, accepted

Thomas Voß, Nikolaus Hansen, and Christian Igel. Improved Step Size Adaptation for the MO-CMA-ES. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010), ACM Press, accepted

Christian Igel. Evolutionary Kernel Learning. In C. Sammut and G. I. Webb, eds.: Encyclopedia of Machine Learning, Springer-Verlag, in press

Verena Heidrich-Meisner and Christian Igel. Neuroevolution Strategies for Episodic Reinforcement Learning. Journal of Algorithms 64(4), pp. 152-168, 2009, doi:10.1016/j.jalgor.2009.04.002

Christian Igel. Service: Reinforcement Learning. Künstliche Intelligenz 09(3), p. 44, 2009

Benjamin Roeschies and Christian Igel. Structure Optimization of Reservoir Networks. Logic Journal of the IGPL, 2009, doi:10.1093/jigpal/jzp047 note

Thorsten Suttorp, Nikolaus Hansen, and Christian Igel. Efficient Covariance Matrix Update for Variable Metric Evolution Strategies. Machine Learning 75, pp. 167-197, 2009

Julian Togelius, Tom Schaul, Daan Wierstra, Christian Igel, Faustino Gomez, and Jürgen Schmidhuber. Ontogenetic and Phylogenetic Reinforcement Learning. Künstliche Intelligenz 09(3), pp. 30-33, 2009

Susanne Winter, Ioannis Pechlivanis, Claudia Dekomien, Bernhard Brendel, Christian Igel, and Kirsten Schmieder. Toward Registration of 3D Ultrasound and CT Images of the Spine in Clinical Praxis: Design and Evaluation of a Data Acquisition Protocol. Ultrasound in Medicine and Biology 35(11), pp. 1773-1782, 2009, doi:10.1016/j.ultrasmedbio.2009.06.1089

Asja Fischer and Christian Igel. Contrastive Divergence Learning May Diverge When Training Restricted Boltzmann Machines. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Conference on Computational Neuroscience (BCCN 2009), 2009, doi:10.3389/conf.neuro.10.2009.14.121

Verena Heidrich-Meisner and Christian Igel. Hoeffding and Bernstein Races for Selecting Policies in Evolutionary Direct Policy Search. In L. Bottou and M. Littman, eds.: Proceedings of the International Conference on Machine Learning (ICML 2009), pp. 401-408, 2009

Verena Heidrich-Meisner and Christian Igel. Uncertainty Handling CMA-ES for Reinforcement Learning. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2009), pp. 1211-1218, ACM Press, 2009

Verena Heidrich-Meisner and Christian Igel. Variable-metric Evolution Strategies for Direct Policy Search. In Multidisciplinary Symposium on Reinforcement Learning (MSRL 2009), 2009

Christian Igel and Tobias Glasmachers. Second-order SMO for SVM Online and Active Learning. In: 23rd European Conference on Operational Research (EURO 2009), 2009

Valentin Markounikau, Christian Igel, and Dirk Jancke. A Mesoscopic Model of VSD Dynamics Observed in Visual Cortex Induced by Flashed and Moving Stimuli. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Conference on Computational Neuroscience (BCCN 2009), 2009, doi: 10.3389/conf.neuro.10.2009.14.064

Matthias Tuma and Christian Igel. Kernel-based Machine Learning Techniques for Hydroacoustic Signal Classification. International Scientific Studies Conference (ISS 2009), 2009

Thomas Voß, Nikolaus Hansen, and Christian Igel. Recombination for Learning Strategy Parameters in the MO-CMA-ES. In M. Ehrgott, C. Fonseca, X. Gandibleux, J.-K. Hao, and M. Sevaux, eds.: Fifth International Conference on Evolutionary Multi-Criterion Optimization (EMO 2009), LNCS 5467, Springer-Verlag, 2009

Tobias Glasmachers and Christian Igel. Second Order SMO Improves SVM Online and Active Learning. Neural Computation 20(2), pp. 374–382, 2008 source code

Christian Igel, Verena Heidrich-Meisner, and Tobias Glasmachers. Shark. Journal of Machine Learning Research 9, pp. 993-996, 2008 source code

Susanne Winter, Bernhard Brendel, Ioannis Pechlivanis, Kirsten Schmieder, and Christian Igel. Registration of CT and Intraoperative 3D Ultrasound Images of the Spine Using Evolutionary and Gradient-based Methods. IEEE Transactions on Evolutionary Computation, 12(3), pp. 284–296, 2008

Christian Igel and Bernhard Sendhoff. Genesis of Organic Computing Systems: Coupling Evolution and Learning. In R. Würtz, ed.: Organic Computing, Chapter 7, pp. 141-166, Springer-Verlag, 2008

Tobias Glasmachers and Christian Igel. Uncertainty Handling in Model Selection for Support Vector Machines. In G. Rudolph, ed.: Parallel Problem Solving from Nature (PPSN X), LNCS 5199, pp. 185-194, Springer-Verlag, 2008

Verena Heidrich-Meisner and Christian Igel. Learning Behavioral Policies using Extrinsic Perturbations on the Level of Synapses. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Symposium 2008, 2008

Verena Heidrich-Meisner and Christian Igel. Evolution Strategies for Direct Policy Search. In G. Rudolph, ed.: Parallel Problem Solving from Nature (PPSN X), LNCS 5199, pp. 428-437, Springer-Verlag, 2008

Verena Heidrich-Meisner and Christian Igel. Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem. In Girgin et al., eds.: European Workshop on Reinforcement Learning (EWRL 2008), LNAI 5323, pp. 136-150, Springer-Verlag, 2008

Verena Heidrich-Meisner and Christian Igel. Similarities and differences between policy gradient methods and evolution strategies. In M. Verleysen, ed.: 16th European Symposium on Artificial Neural Networks (ESANN 2008), pp. 149-154, Belgium: d-side publications, 2008

Verena Heidrich-Meisner and Christian Igel. Uncertainty Handling in Evolutionary Direct Policy Search. In Y. Engel, M. Ghavamzadeh, P. Poupart, and S. Mannor, eds.: NIPS-08 Workshop on Model Uncertainty and Risk in Reinforcement Learning, 2008

Thorsten Suttorp and Christian Igel. Approximation of Gaussian Process Regression Models after Training. In M. Verleysen, ed.: 16th European Symposium on Artificial Neural Networks (ESANN 2008), pp. 427-432, Belgium: d-side publications, 2008 source code

Thomas Voß, Nicola Beume, Günter Rudolph, Christian Igel. Scalarization versus Indicator-based Selection in Multi-objective CMA Evolution Strategies. Congress on Evolutionary Computation 2008 (CEC 2008), pp. 3041-3048, IEEE Press, 2008

Christian Igel, Nikolaus Hansen, and Stefan Roth. Covariance Matrix Adaptation for Multi-objective Optimization. Evolutionary Computation 15(1), pp. 1-28, 2007 source code

Christian Igel, Tobias Glasmachers, Britta Mersch, Nico Pfeifer, and Peter Meinicke. Gradient-based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection. IEEE/ACM Transactions on Computational Biology and Bioinformatics 4(2), pp. 216-226, 2007 source code & supplementary material

Britta Mersch, Tobias Glasmachers, Peter Meinicke, and Christian Igel. Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. International Journal of Neural Systems 17(5), selected paper of ICANN 2006, pp. 369-381, 2007 source code & supplementary material

Jens Niehaus, Christian Igel, and Wolfgang Banzhaf. Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database. Evolutionary Computation, 15(2), pp. 199-221, 2007

Verena Heidrich-Meisner, Martin Lauer, Christian Igel, and Martin Riedmiller. Reinforcement Learning in a Nutshell. In M. Verleysen, ed.: 15th European Symposium on Artificial Neural Networks (ESANN 2007), Belgium: d-side publications, pp. 277-288, 2007

Christian Igel, Thorsten Suttorp, and Nikolaus Hansen. Steady-state Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. In S. Obayashi et al., eds.: Proceedings of the Fourth International Conference on Evolutionary Multi-Criterion Optimization (EMO 2007), LNCS 4403, pp. 171-185, Springer-Verlag, 2007 source code

Thorsten Suttorp and Christian Igel. Resilient Approximation of Kernel Classifiers. In J. Marques de Sá et al., eds.: International Conference on Artificial Neural Networks (ICANN 2007), LNCS 4668, pp. 139-148, Springer-Verlag, 2007 source code

Karin Liebenrodt, Martin H. J. Busch, Serban Mateiescu, Christian Igel, Susanne Winter, and Dietrich H. W. Grönemeyer. Protonenresonanzspektroskopie des Gehirns mit kurzer Echozeit: Unterstützung der Gewebeklassifizierung durch künstliche neuronale Netzwerke, Biomedizinische Technik (BMT), 52 (suppl.), 2007

Jan Salmen, Thorsten Suttorp, Johann Edelbrunner, and Christian Igel. Evolutionary Optimization of Wavelet Feature Sets for Real-Time Pedestrian Classification. In A. König, M. Köppen, A. Abraham, C. Igel, and N. Kasabov, eds.: International Conference on Hybrid Intelligent Systems (HIS 2007), pp. 222-227, IEEE Computer Society, 2007

Tobias Glasmachers and Christian Igel. Maximum-Gain Working Set Selection for SVMs. Journal of Machine Learning Research 7, pp. 1437-1466, 2006 source code and supplementary information

Thorsten Suttorp and Christian Igel. Multi-objective optimization of support vector machines. In Y. Jin, ed.: Multi-objective Machine Learning, pp. 199-220, Studies in Computational Intelligence, Springer-Verlag, 2006

Stefan Roth, Alexander Gepperth, and Christian Igel. Multi-objective neural network optimization for visual object detection. In Y. Jin, ed.: Multi-objective Machine Learning, pp. 629-655, Studies in Computational Intelligence, Springer-Verlag, 2006

Christian Igel, Thorsten Suttorp, and Nikolaus Hansen. A Computational Efficient Covariance Matrix Update and a (1+1)-CMA for Evolution Strategies. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2006), pp. 453-460, ACM Press, 2006 source code

Britta Mersch, Tobias Glasmachers, Peter Meinicke, and Christian Igel. Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. In S. Kollias et al., eds.: International Conference on Artificial Neural Networks (ICANN 2006), LNCS 4132, pp. 827-836, Springer-Verlag, 2006 source code & supplementary material

Tobias Glasmachers and Christian Igel. Gradient-based Adaptation of General Gaussian Kernels. Neural Computation 17(10), pp. 2099-2105, 2005

Antonio Pellecchia, Christian Igel, Johann Edelbrunner, and Gregor Schöner. Making Driver Modeling Attractive. IEEE Intelligent Systems 20(2), pp. 8-12, 2005

Frauke Friedrichs and Christian Igel. Evolutionary Tuning of Multiple SVM Parameters. Neurocomputing 64(C), pp. 107-117, 2005

Christian Igel, Marc Toussaint, and Wan Weishui. Rprop Using the Natural Gradient. In M. G. de Bruin, D. H. Mache, and J. Szabados, eds.: Trends and Applications in Constructive Approximation. International Series of Numerical Mathematics, vol. 151, pp. 259-272, Birkhäuser Verlag, 2005

Christian Igel, Frauke Friedrichs, and Stefan Wiegand. Evolutionary Optimization of Neural Systems: The Use of Strategy Adaptation. In M. G. de Bruin, D. H. Mache, and J. Szabados, eds.: Trends and Applications in Constructive Approximation. International Series of Numerical Mathematics, vol. 151, pp. 103-123, Birkhäuser Verlag, 2005

Susanne Winter, Bernhard Brendel, and Christian Igel. Registration of bone structures in 3D ultrasound and CT data: Comparison of different optimization strategies. In H. U. Lemke, K. Inamura, K. Doi, M. W. Vannier, and A. G. Farman, eds.: Computer Assisted Radiology and Surgery (CARS 2005), International Congress Series 1281, pp. 242-247, Elsevier, 2005

Christian Igel and Bernhard Sendhoff. Synergies between Evolutionary and Neural Computation. In M. Verleysen, ed.: 13th European Symposium on Artificial Neural Networks (ESANN 2005), pp. 241-252, Belgium: d-side publications, 2005

Christian Igel. Multiobjective Model Selection for Support Vector Machines. In C. A. Coello Coello, E. Zitzler, and A. Hernandez Aguirre, eds.: Proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005), LNCS 3410, pp. 534-546, Springer-Verlag, 2005

Susanne Winter, Bernhard Brendel, and Christian Igel. Registrierung von Knochen in 3D-Ultraschall- und CT-Daten: Vergleich verschiedener Optimierungsverfahren. In Bildverarbeitung für die Medizin (BVM), pp. 345-149, Springer-Verlag, 2005

Christian Igel and Karl-Heinz Temme. The Chaining Syllogism in Fuzzy Logic. IEEE Transactions on Fuzzy Systems 12(6), pp. 849-853, 2004 (extended version)

Stefan Wiegand, Christian Igel, and Uwe Handmann. Evolutionary Multi-Objective Optimization of Neural Networks for Face Detection. International Journal of Computational Intelligence and Applications, Special Issue on Neurocomputing and Hybrid Methods for Evolving Intelligence 4(3), pp. 237-253, 2004

Christian Igel and Marc Toussaint. A No-Free-Lunch Theorem for Non-Uniform Distributions of Target Functions. Journal of Mathematical Modelling and Algorithms 3(4), pp. 313-322, 2004

Stefan Schneider, Christian Igel, Christian Klaes, Hubert R. Dinse, and Jan C. Wiemer. Evolutionary adaptation of nonlinear dynamical systems in computational neuroscience. Genetic Programming and Evolvable Machines 5(2), Special Issue on Biological Applications of Genetic and Evolutionary Computation, pp. 215-227, 2004

Thomas Wiebringhaus, Christian Igel, and Jutta Gebert. Protein Fold Class Prediction Using Neural Networks with Tailored Early-Stopping. International Joint Conference on Neural Networks (IJCNN 2004), pp. 1693-1697, IEEE Press, 2004 note

Frauke Friedrichs and Christian Igel. Evolutionary Tuning of Multiple SVM Parameters. In M. Verleysen, ed.: 12th European Symposium on Artificial Neural Networks (ESANN 2004), pp. 519-524, Belgium: d-side publications, 2004 note

Stefan Wiegand, Christian Igel, and Uwe Handmann. Evolutionary Optimization of Neural Networks for Face Detection. In M. Verleysen, ed.: 12th European Symposium on Artificial Neural Networks (ESANN 2004), pp. 139-144 Belgium: d-side publications, 2004

Christian Igel and Martin Kreutz. Operator Adaptation in Evolutionary Computation and its Application to Structure Optimization of Neural Networks. Neurocomputing 55(1-2), pp. 347-361, 2003 (uncorrected proof)

Torsten Mayr, Christian Igel, Gregor Liebsch, Ingo Klimant, and Otto S. Wolfbeis. Cross-Reactive Metal Ion Sensor Array in a Microtiterplate Format. Analytical Chemistry 75(17), pp. 4389-4396, 2003

Christian Igel and Marc Toussaint. Neutrality and Self-Adaptation. Natural Computing 2(2), pp. 117-132, 2003

Christian Igel and Marc Toussaint. On Classes of Functions for which No Free Lunch Results Hold. Information Processing Letters 86(6), pp. 317-321, 2003

Thomas Bücher, Cristobal Curio, Johann Edelbrunner, Christian Igel, David Kastrup, Iris Leefken, Gesa Lorenz, Axel Steinhage, and Werner von Seelen. Image Processing and Behaviour Planning for Intelligent Vehicles. IEEE Transactions on Industrial Electronics 50(1), pp. 62-75, 2003

Christian Igel and Michael Hüsken. Empirical Evaluation of the Improved Rprop Learning Algorithm. Neurocomputing 50(C), pp. 105-123, 2003 source code

Christian Igel. Neuroevolution for Reinforcement Learning Using Evolution Strategies. In R. Sarker, R. Reynolds, H. Abbass, K. C. Tan, B. McKay, D. Essam, and T. Gedeon, eds.: Congress on Evolutionary Computation 2003 (CEC 2003), Volume 4, pp. 2588-2595, IEEE Press, 2003

Thomas Wiebringhaus, Ulrich Faigle, Dietmar Schomburg, Jutta Gebert, Christian Igel, and Gerhard-Wilhelm Weber. Protein Fold Class Prediction Using Neural Networks Reconsidered. Currents in Computational Molecular Biology, The Seventh Annual International Conference on Research in Computational Molecular Biology (RECOMB 2003), pp. 225-226, 2003

Michael Hüsken, Christian Igel, and Marc Toussaint. Task-Dependent Evolution of Modularity in Neural Networks. Connection Science 14(3), pp. 219-229, 2002

Christian Igel and Peter Stagge. Effects of Phenotypic Redundancy in Structure Optimization. IEEE Transactions on Evolutionary Computation 6(1), pp. 74-85, 2002

Christian Igel, Werner von Seelen, Wolfram Erlhagen, and Dirk Jancke. Evolving Field Models for Inhibition Effects in Early Vision. Neurocomputing 44-46(C), pp. 467-472, 2002

Hubert R. Dinse, Michael Hüsken, Christian Igel, Christian Klaes, Marc Nunkesser, Stefan Schneider, and Jan Wiemer. Derandomized Evolution Strategies in Computational Neuroscience. In A. Barry, ed.: 2002 Genetic and Evolutionary Computation Conference Workshop Program (GECCO 2002): Biological Applications of Genetic and Evolutionary Computation (BioGEC 2002), pp. 35-37, 2002

Michael Hüsken and Christian Igel. Balancing Learning and Evolution. In W. B. Langdon, E. Cantu-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A. C. Schultz, J. F. Miller, E. Burke, and N. Jonoska, eds.: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), pp. 391-398, 2002, Morgan Kaufmann

Christian Igel and Peter Stagge. Graph Isomorphisms Affect Structure Optimization of Neural Networks. International Joint Conference on Neural Networks 2002 (IJCNN 2002), pp. 142-147, IEEE Press

Marc Toussaint and Christian Igel. Neutrality: A Necessity for Self-Adaptation. Congress on Evolutionary Computation 2002 (CEC 2002), pp. 1354-1359, IEEE Press

Christian Igel, Wolfram Erlhagen, and Dirk Jancke. Optimization of Dynamic Neural Fields. Neurocomputing 36(1-4), pp. 225-233, 2001

Thomas Bergener, Carsten Bruckhoff and Christian Igel. Parameter Optimization for Visual Obstacle Detection Using a Derandomized Evolution Strategy. In J. Blanc-Talon and D. Popescu, eds.: Imaging and Vision Systems: Theory, Assessment and Application. Advances in Computation: Theory and Practice 9, Chapter 13, pp. 265-279, NOVA Science Books, 2001

Christian Igel and Martin Kreutz. Operator Adaptation in Structure Optimization of Neural Networks. In L. Spector, E. Goodman, A. Wu, W.B. Langdon, H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. Garzon, and E. Burke, eds.: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '01), p. 1094, Morgan Kaufmann Publishers, 2001

Johann Edelbrunner, Uwe Handmann, Christian Igel, Iris Leefken and Werner von Seelen. Application and Optimization of Neural Field Dynamics for Driver Assistance. In The IEEE 4th International Conference on Intelligent Transportation Systems (ITSC '01), pp. 309-314, IEEE Press, 2001

Peter Stagge and Christian Igel. Structure Optimization and Isomorphisms. In L. Kallel, B. Naudts and A. Rogers, eds.: Theoretical Aspects of Evolutionary Computing, Natural Computing series, pp. 409-422, Springer-Verlag, 2001

Peter Stagge and Christian Igel. Neural Network Structures and Isomorphisms: Random Walk Characteristics of the Search Space. In X. Yao and D. B. Fogel, eds.: 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (ECNN), pp. 82-90, IEEE press, 2000

Christian Igel and Michael Hüsken. Improving the Rprop Learning Algorithm. In H. Bothe and R. Rojas, eds.: Second International Symposium on Neural Computation (NC 2000), pp. 115-121, ICSC Academic Press, 2000 source code

Thomas Bergener, Carsten Bruckhoff and Christian Igel. Evolutionary Parameter Optimization for Visual Obstacle Detection. In J. Blanc-Talon and D. Popescu, eds.: Advanced Concepts for Intelligent Vision Systems (ACIVS'99), pp. 104-109, The International Institute for Advanced Studies in Systems Research and Cybernetics, 1999

Christian Igel and Kumar Chellapilla. Fitness Distributions: Tools for Designing Efficient Evolutionary Computations. In L. Spector, W. B. Langdon, U.-M. O'Reilly, and P. J. Angeline, eds.: Advances in Genetic Programming 3, Chapter 9, pp. 191-216, MIT Press, 1999

Christian Igel and Kumar Chellapilla. Investigating the Influence of Depth and Degree of Genotypic Change on Fitness in Genetic Programming. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela and R. E. Smith, eds.: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '99), Volume 2, pp. 1061-1068, Morgan Kaufmann Publishers, 1999 note

Christian Igel and Martin Kreutz. Using Fitness Distributions to Improve the Evolution of Learning Structures. Congress on Evolutionary Computation (CEC 99), Volume 3, pp. 1902-1909, IEEE Press, 1999

Christian Igel. Causality of Hierarchical Variable Length Representations. Proceedings of the IEEE International Conference on Evolutionary Computation (ICEC'98), pp. 324-329, IEEE Press, 1998

Christian Igel and Karl-Heinz Temme. Chaining Syllogism Applied to Fuzzy If-Then Rules and Rule Bases. In B. Reusch, ed.: Computational Intelligence - Theory and Applications, LNCS 1226, pp. 179-188, Springer-Verlag, 1997

Andreas König, Mario Köppen, Ajith Abraham, Christian Igel, and Nikola Kasabov, eds.: International Conference on Hybrid Intelligent Systems (HIS 2007), IEEE Computer Society, 2007

Christian Igel. Untersuchungen zur Kettenregel für Fuzzy-Regeln und Regelbasen mit implikationsbasierter Semantik, Diploma thesis, University of Dortmund, Department of Computer Science, 1997

Christian Igel. Beiträge zum Entwurf neuronaler Systeme, Doctoral thesis, University of Bielefeld, Faculty of Technology, Shaker-Verlag, Aachen, Germany, ISBN: 3-8322-1103-9

Valentin Markounikau, Christian Igel, and Dirk Jancke. Neural Field Models of Early Cortical Processing of Real and Apparent Motion. In: Computational Vision and Neuroscience Symposium, p. 36. Max Planck Institute for Biological Cybernetics, Tübingen, 2008

Christian Igel. Efficient Covariance Matrix Update for Evolution Strategies. In D. V. Arnold, A. Auger, J. E. Rowe, and C. Witt, eds.: Theory of Evolutionary Algorithms, Dagstuhl Seminar Proceedings 08051, Abstract Collection. Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, 2008

Jennifer Meyer, Dirk Jancke, and Christian Igel. Modelling cortical activity underlying apparent and real motion perception. In K.-A. Hossmann, ed.: Symposium `Neuro-Visionen 4, Perspektiven in Nordrhein-Westfalen', pp. 257-258. Verlag Ferdinand Schöningh, 2007

Christian Igel. Computational Efficient Covariance Matrix Update and the Multi-objective Variable Metric Evolution Strategy. In D. V. Arnold, T. Jansen, J. E. Rowe, and M. D. Vose, eds.: Theory of Evolutionary Algorithms, Dagstuhl Seminar Proceedings 06061, Abstract Collection. Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, 2006

Christian Igel. The Bias-Invariance Dilemma. In K. Bellman, P. Hofmann, C. Müller-Schloer, H. Schmeck, and R.Würtz, eds.: Organic Computing - Controlled Emergence, Dagstuhl Seminar Proceedings 06031, Abstract Collection. Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, 2006

Jennifer Meyer, Christian Igel, and Dirk Jancke. Modelling dynamic activity patterns in early visual cortex based on voltage sensitive dye experiments. In K.-A. Hossmann, ed.: Symposium `Neuro-Visionen 3, Perspektiven in Nordrhein-Westfalen', pp. 193-195. Verlag Ferdinand Schöningh, 2006

Christian Igel: Recent Results on No-Free-Lunch for Optimization. In H.-G. Beyer, T. Jansen, C. Reeves, and M. D. Vose, eds.: Theory of Evolutionary Algorithms, Dagstuhl Seminar Proceedings 04081, Abstract Collection. Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, 2004.

Christian Igel and Werner von Seelen. Design of a Field Model for Early Vision: A Case Study of Evolutionary Algorithms in Neuroscience. In N. Elsner and G. W. Kreutzberg, eds.: Göttingen Neurobiology Report 2001, Volume 2, p. 1034, Georg Thieme Verlag, 2001

Michael Hüsken, Christian Igel, and Marc Toussaint. Task-Dependent Evolution of Modularity in Neural Networks - A Quantitative Case Study. In Erik D. Goodman, ed.: Late Breaking Papers at the 2001 Genetic and Evolutionary Computation Conference, pp. 187-193, 2001

Jens Busse, Hans-Jürgen Röhm, Sascha Wenzel, Gerd Emmrich, and Christian Igel. Zur Auslegung von thermisch und stofflich gekoppelten Destillationskolonnen mit evulutionären Algorithmen, GVC / DECHEMA Fachausschuss Prozess- und Anlagentechnik, 2001

Christian Igel, Nikolaus Hansen, and Stefan Roth. The Multi-objective Variable Metric Evolution Strategy, Part I. Technical Report, IRINI-2001-04, Institut für Neuroinformatik, 2005

Tobias Glasmachers and Christian Igel. Maximum-Gain Working Set Selection for Support Vector Machines. Technical Report, IRINI-2005-03, Institut für Neuroinformatik, 2005 source code and supplementary information

Jens Niehaus, Christian Igel, and Wolfgang Banzhaf. Graph Genetic Programming and Neutrality. Technical Report, IRINI-2005-02, Institut für Neuroinformatik, 2005

Britta Mersch, Nico Pfeifer, Tobias Glasmachers, Peter Meinicke, and Christian Igel. Gradient-based Optimization of Kernel-Target Alignment for Sequence Kernels Technical Report, IRINI-2005-01, Institut für Neuroinformatik, 2005

Christian Igel and Martin Kreutz. Operator Adaptation in Evolutionary Computation and its Application to Structure Optimization of Neural Networks. Technical Report, IRINI-2001-03, Institut für Neuroinformatik, 2001