Sendhoff, Bernhard, Prof. Dr. - PUBLICATIONS

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Journals
[144] Yaochu Jin and Bernhard Sendhoff. A systems approach to evolutionary multi-objective structural optimization and beyond. In IEEE Computational Intelligence Magazine, 4(3), 62-76, 2009.
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[143] Yaochu Jin, Robin Gruna and Bernhard Sendhoff. Pareto Analysis of Evolutionary and Learning Systems. In Frontiers of Computer Science in China, 3(1), 4-17, 2009.
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[142] Lars Graening, Stefan Menzel, Martina Hasenjäger, Thomas Bihrer, Markus Olhofer and Bernhard Sendhoff. Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. In Journal of Mathematical Modelling and Algorithms, 7(4), 329-350, 2008.
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[141] Dudy Lim, Yaochu Jin, Yew-Soon Ong, and Bernhard Sendhoff. Generalizing Surrogate-Assisted Evolutionary Computation In IEEE Transactions on Evolutionary Computation, 2008.
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[140] Ingo Paenke and Tadeusz Kawecki and Bernhard Sendhoff. The influence of learning on evolution - a mathematical framework. In Artificial Life, 15(2), 227-245, 2009.
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[139] Yaochu Jin and Bernhard Sendhoff. Pareto-based Multi-objective Machine Learning: An Overview and Case Studies. In IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, 39(3), 397-415, 2008.
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[138] Toyotaka Sonoda, Martina Hasenjäger, Toshiyuki Arima and Bernhard Sendhoff. Effect of Endwall Contouring on the Performance of Ultra-Low Aspect Ratio Transonic Turbine Inlet Guide Vanes In Journal of Turbomachinery, 131(1), 011020 (11 pages), 2009.
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[137] Ingo Paenke, Bernhard Sendhoff and Tadeusz Kawecki. Influence of plasticity and learning on evolution under directional selection. In American Naturalist, 170(2), 1-12, 2007.
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[136] Hans-Georg Beyer and Bernhard Sendhoff. Robust optimization - A comprehensive survey. In Computer Methods in Applied Mechanics and Engineering, 196(33-34), 3190-3218, 2007.
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[135] Bernhard Sendhoff, Marc Roberts and Yin Yao. Evolutionary computation benchmarking repository. IEEE Computational Intelligence Magazine, 1(4), 50-53, 2006.
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[134] Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff and Bu-Sung Lee. In Future Generation Computer Systems - The International Journal of Grid Computing Theory, Methods and Applications, 23(4), 658-670, 2007.
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[133] Toyotaka Sonoda and Toshiyuki Arima and Markus Olhofer and Bernhard Sendhoff and Friedrich Kost and Peter A. Giess. A study of advanced high loaded transonic turbine airfoils. In Journal of Turbomachinery, 128(4), 650-657, 2006.
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[132] Hans-Georg Beyer and Bernhard Sendhoff. Functions with Noise-Induced Multi-Modality: A Test for Evolutionary Robust Optimization - Properties and Performance Analysis, In IEEE Transactions on Evolutionary Computation, 10(5), 507-526, 2006.
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[131] Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff and Bu-Sung Lee. Inverse multi-objective robust evolutionary design. In Journal of Genetic Programming and Evolvable Machines, 7(4), 383-404, 2006.
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[130] Vineet R. Khare, Xin Yao and Bernhard Sendhoff. Multi-network evolutionary systems and automatic decomposition of complex problems}. In International Journal of General Systems, 35(3), 259-274, 2006.
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[129] Kwasi Foli, Tatsuya Okabe, Markus Olhofer, Yaochu Jin and Bernhard Sendhoff. Optimization of Micro Heat Exchanger: CFD, Analytical Approach and Multi-Objective Evolutionary Algorithms. In International Journal of Heat and Mass Transfer, 49(5-6), 1090-1099, 2006.
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[128] Georg Schneider, Heiko Wersing, Bernhard Sendhoff and Edgar Körner. Evolutionary optimization of an hierarchical object recognition model. In IEEE Transactions on Systems, Man and Cybernetics, 35(3):426-437, 2005.
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[127] Toyotaka Sonoda, Yoshihiro Yamaguchi, Toshiyuki Arima, Markus Olhofer, Bernhard Sendhoff and Heinz-Adolf Schreiber. Advanced high turning compressor airfoils for low Reynolds number condition. Part 1: Design and optimization. In Journal of Turbomachinery, 126: 350-359, 2004.
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[126] Hans-Georg Beyer, Markus Olhofer and Bernhard Sendhoff. On the Impact of Systematic Noise on the Evolutionary Optimization Performance - A Sphere Model Analysis. Journal of Genetic Programming and Evolvable Machines, 5(4): 327-360, 2003.
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[125] Michael Hüsken, Yaochu Jin and Bernhard Sendhoff. Structure Optimization of Neural Networks for Evolutionary Design Optimization. Journal of Softcomputing, 9(1): 21-28, 2005.
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[124] Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. A Framework for Evolutionary Optimisation with Approximate Fitness Functions. IEEE Transactions on Evolutionary Computation, 6(5), pages 481-494, 2002.
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[123] Yaochu Jin and Bernhard Sendhoff. Extracting Interpretable Fuzzy Rules from RBF networks. Neural Processing Letters, 17(2):149-164, 2003.
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[122] Markus Olhofer, Toshiyuki Arima, Yaochu Jin, Toyotaka Sonoda and Bernhard Sendhoff. Optimisation of Transonic Gas Turbine Blades with Evolution Strategies. Honda Technical Review, 14(1), pages 203-216, April, 2002.
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[121] Bernhard Sendhoff and Martin Kreutz. A model for the dynamic interaction between evolution and learning. Neural Processing Letters, 10(3), pages 181-193, 1999.
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[120] Yaochu Jin and Bernhard Sendhoff. Knowledge incorporation into neural networks from fuzzy rules. Neural Processing Letters, 10(3), pages 231-242, 1999.
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[119] Yaochu Jin, Werner von Seelen and Bernhard Sendhoff. On Generating FC3 Fuzzy Rule Systems From Data Using Evolution Strategies. IEEE Transactions Systems, Man and Cybernetics, 29(4), 1999.
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[118] Willfried Wienholt and Bernhard Sendhoff. How to determine the redundancy of noisy chaotic time series. International Journal of Bifurcation and Chaos, 6(1), pages 101-117, Januar 1996.
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Conferences and Book Chapters
[117] Lars Graening, Markus Olhofer and Bernhard Sendhoff. Interaction Detection in Aerodynamic Design Data. In International Conference on Intelligent Data Engineering and Automated Learning, IDEAL, Springer Verlag, 2009.
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[116] Ben Jones, Yaochu Jin, Bernhard Sendhoff and Xin Yao. The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulating Organism. In 10th European Conference on Artificial Life, Springer Verlag, 2009.
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[115] Lisa Schramm, Yaochu Jin and Bernhard Sendhoff. Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-Cellular Animats. In 10th European Conference on Artificial Life, Springer Verlag, 2009.
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[114] Yaochu Jin, Robin Gruna, Ingo Paenke and Bernhard Sendhoff. Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. In IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (IEEE MCDM), IEEE Press, 2009.
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[113] Till Steiner, Jens Trommler, Martin Brenn, Yaochu Jin and Bernhard Sendhoff. Global Shape with Morphogen Gradients and Motile Polarized Cells. In Proceedings of the IEEE Congress on Evolutionary Computation, IEEE Press, 2009.
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[112] Yaochu Jin, Yan Meng and Bernhard Sendhoff. Evolvability and robustness of in silico evolution of gene regulatory dynamics. In Foundations of Systems Biology in Engineering, 2009.
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[111] Toyotaka Sonoda, Markus Olhofer, Toshiyuki Arima and Bernhard Sendhoff. A new concept of a two-dimensional supersonic relative inlet Mach number compressor cascade. In Proceedings of the {ASME} Turbo Expo, 2009.
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[110] Yaochu Jin, Yan Meng and Bernhard Sendhoff. Influence of Regulation Logic on the Easiness of Evolving Sustained Oscillation for Gene Regulatory Networks. In IEEE ALIFE Conference, 2009.
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[109] Bernhard Sendhoff, Edgar Körner and Olaf Sporns. Creating brain-like intelligence. In Creating brain-like intelligence, LNCS 5436, 1-15, Springer Verlag, 2009.
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[108] Yaochu Jin, Lisa Schramm, and Bernhard Sendhoff. A Gene Regulatory Model for the Development of Primitive Nervous Systems. In INNS-NNN Symposia on Modeling the Brain and Nervous Systems, Springer, 2008.
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[107] Christian Igel and Bernhard Sendhoff. Genesis of organic computing systems: Coupling evolution and learning. In R. Würtz (ed.) Organic Computing, 141-166, Springer, 2008.
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[106] Yaochu Jin, Robin Gruna, Ingo Paenke and Bernhard Sendhoff. Multi-objective optimization of robustness and innovation in redundant genetic representations. In IEEE Symposium on Artificial Life (IEEE ALIFE 2009), 38-45, IEEE Press, 2009.
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[105] Yaochu Jin, Yan Meng and Bernhard Sendhoff. Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. In IEEE Symposium on Artificial Life (IEEE ALIFE 2009), 61-68, IEEE Press, 2009.
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[104] Dudy Lim, Yew-Soon Ong, Yaochu Jin, and Bernhard Sendhoff. Evolutionary optimization with dynamic fidelity computational models. In Proceedings of International Conference on Intelligent Computing, 2008.
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[103] Hans-Georg Beyer and Bernhard Sendhoff. Covariance matrix adaptation revisited - The CMSA Evolution Strategy. In Parallel Problem Solving From Nature, 2008.
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[102] Ben Jones, Yaochu Jin, Xin Yao and Bernhard Sendhoff. Evolution of Neural Organization in A Hydra-Like Animat. In International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly (ICONIP-2008), 2008.
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[101] Ben Jones, Yaochu Jin, Bernhard Sendhoff and Xin Yao. Evolving functional symmetry in a three-dimensional model of an elongated organism. In Artificial Life XI, 2008.
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[100] Till Steiner, Yaochu Jin and Bernhard Sendhoff. A cellular model for the evolutionary development of lightweight material with an inner structure. In Genetic and Evolutionary Computation Conferencen (GECCO), 2008.
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[99] Yi Cao, Yaochu Jin, Michal Kowalczykiewicz and Bernhard Sendhoff. Prediction of Convergence Dynamics of Design Performance using Differential Recurrent Neural Networks. In IEEE International Joint Conference on Neural Networks (IJCNN), 2008.
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[98] Yaochu Jin and Bernhard Sendhoff. Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. In IEEE Congress on Evolutionary Computation (CEC), 2008.
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[97] Aimin Zhou, Qingfu Zhang, Yaochu Jin and Bernhard Sendhoff. Combination of EDA and DE for Continuous Biobjective Optimization. In IEEE Congress on Evolutionary Computation (CEC), 2008.
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[96] Neale Samways, Yaochu Jin, Xin Yao and Bernhard Sendhoff. Toward a Gene Regulatory Network Model for Evolving Chemotaxis Behavior. In IEEE Congress on Evolutionary Computation (CEC), 2008.
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[95] Stefan Menzel and Bernhard Sendhoff. Representing the change - free form deformation for evolutionary design optimization. In T. Yu, L. Davis, C. Baydar and R. Roy (Eds.) Evolutionary Computation in Practice, 63-86, 2008.
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[94] Lars Gräning, Markus Olhofer and Bernhard Sendhoff. Knowledge extraction from unstructured surface meshes. In Proceedings of the 8th International Conference on Intelligent Data Egineering and Automated Learning (IDEAL). Springer Verlag, 2007.
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[93] Toyotaka Sonoda, Martina Hasenjäger, Toshiyuki Arima and Bernhard Sendhoff. Effect of endwall contouring on performance of ultra-low aspect ratio transonic turbine inlet guide vanes. In Proceedings of the ASME Turbo Expo, ASME Paper No. GT2007-28210, 2007.
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[92] Till Steiner, Lisa Schramm, Yaochu Jin, and Bernhard Sendhoff. Emergence of feedback in artificial gene regulatory networks. In IEEE Congress on Evolutionary Computation (CEC). IEEE Press, 2007.
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[91] Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, and Edward Tsang. Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. In Genetic and Evolutionary Computation Conferencen (GECCO). ACM Press, 2007.
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[90] Aimin Zhou, Qingfu Zhang, Yaochu Jin, and Bernhard Sendhoff. Adaptive modelling strategy for continuous multi-objective optimization. In IEEE Congress on Evolutionary Computation (CEC). IEEE Press, 2007.
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[89] Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, and Edward Tsang. Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization. In T. Murata, H. Aquirre, H. Ishibuchi, and T. Okabe, edts, Fourth International Conference on Evolutionary Multi-Criterion Optimization (EMO2007), Lecture Notes in Computer Science. Springer Verlag, 2007.
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[88] Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, and Thorsten Schnier. Target shape design optimization by evolving splines. In IEEE Congress on Evolutionary Computation (CEC). IEEE Press, 2007.
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[87] Ingo Paenke, Bernhard Sendhoff, Jon Rowe, and Chrisantha Fernando. On the adaptive disadvantage of lamarckianism in rapidly changing environments. In European Conference on Artificial Life (ECAL), 2007.
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[86] Dudy Lim, Yew-Soon Ong, Yaochu Jin, and Bernhard Sendhoff. A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. In Genetic and Evolutionary Computation Conferencen (GECCO). ACM Press, 2007.
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[85] Yaochu Jin, Ruojing Wen, and Bernhard Sendhoff. Evolutionary multi-objective optimization of spiking neural networks. In International Conference on Artificial Neural Networks (ICANN). Spinger Verlag, 2007.
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[84] Hans-Georg Beyer and Bernhard Sendhoff. Evolutionary algorithms in the presence of noise - To sample or not to sample. In IEEE Symposium on Foundations of Computational Intelligence, 2007.
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[83] Stefan Menzel, Markus Olhofer, and Bernhard Sendhoff. Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. In International Conference on Parallel Problem Solving From Nature (PPSN), 2006.
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[82] Vineet R. Khare, Xin Yao, and Bernhard Sendhoff. Environments Conducive to Evolution of Modularity In International Conference on Parallel Problem Solving From Nature (PPSN), 2006.
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[81] Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, and Edward Tsang. Modeling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. In International Conference on Parallel Problem Solving From Nature (PPSN), 2006.
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[80] Hans-Georg Beyer and Bernhard Sendhoff. Evolution Strategies for Robust Optimization. In Congress on Evolutionary Computation (CEC), 2006.
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[79] Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff and Edward Tsang. Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion. In Congress on Evolutionary Computation (CEC), 2006.
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[78] Dudy Lim, Yew-Soon Ong, Yaochu Jin and Bernhard Sendhoff. Trusted Evolutionary Algorithm. In Congress on Evolutionary Computation (CEC), 2006.
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[77] Yaochu Jin and Bernhard Sendhoff. Alleviating Catastrophic Forgetting via Multi-Objective Learning. In International Joint Conference on Neural Networks (IJCNN), 2006.
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[76] Lars Gräning, Yaochu Jin and Bernhard Sendhoff. Generalization improvement in multi-objective learning. In International Joint Conference on Neural Networks (IJCNN), 2006.
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[75] Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda and Toshiyuki Arima. Three dimensional evolutionary aerodynamic design optimization using single and multi-objective approaches. In R. Schilling, W. Haase, J. Periaux, H. Baier and G. Bugeda (Eds.) Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems {EUROGEN}, 2005.
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[74] Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Evolutionary multiobjective approach to constructing neural network ensembles for regression. In Carlos A. Coello Coello and Gary B. Lamont (Eds.) Applications of Multi-objective Evolutionary Algorithms, World Scientific, 2004.
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[73] Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. Theoretical comparison of search dyanmics of genetic algorithms and evolution strategies. In Congress on Evolutionary Computation (CEC), 2005.
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[72] Martina Hasenjäger and Bernhard Sendhoff. Crawling along the Pareto front: Tales from the practice. In Congress on Evolutionary Computation (CEC), 2005.
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[71] Hee-Khiang Ng, Dudy Lim, Yew Soon Ong, Lars Freund, Shuja Pavez, Bu Sung Lee and Bernhard Sendhoff. A multi-clustered grid enabled evolution framework for aerodynamic airfoil design optimization. In International Conference on Natural Computation (ICNC), 2005.
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[70] Yaochu Jin and Bernhard Sendhoff. On evolutionary optimization of large problems with small populations. In International Conference on Natural Computation (ICNC), 2005.
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[69] Vineet Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin and Heiko Wersing. Co-evolutionary modular neural networks for automatic problem decomposition. In Congress on Evolutionary Computation (CEC), 2005.
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[68] Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. A new approach to dynamics analysis of genetic algorithms without selection. In Congress on Evolutionary Computation (CEC), 2005.
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[67] Michael Nashvili, Markus Olhofer and Bernhard Sendhoff. Morphing methods in evolutionary design optimization. In Genetic and Evolutionary Computaton Conference (GECCO), ACM, 2005.
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[66] Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda and Toshiyuki Arima. Three dimensional evolutionary aerodynamic design optimization with (CMA-ES). In Genetic and Evolutionary Computaton Conference (GECCO), ACM, 2005.
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[65] Stefan Menzel, Markus Olhofer and Bernhard Sendhoff. Evolutionary design optimization of complex systems integrating FLUENT for parallel flow evaluation. In European Automotive (CFD) Conferemce (EACC), 2005.
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[64] Christian Igel and Bernhard Sendhoff. Synergies between evolutionary and neural computation. In European Symposium on Artificial Neural Networks (ESANN), 2005.
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[63] Lars Gräning, Yaochu Jin and Bernhard Sendhoff. Efficient evolutionary optimization using individual-based evolutionary control and neural networks - A comparative study. In European Symposium on Artificial Neural Networks (ESANN), 2005.
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[62] Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda and Toshiyuki Arima. Single and multi-objective approaches to 3D evolutionary aerodynamic design optimization. In Sixth World Congress on Structural and Multidisciplinary Optimization, 2005.
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[61] Stefan Menzel, Markus Olhofer and Bernhard Sendhoff. Application of free form deformation techniques in evolutionary design optimzation. In Sixth World Congress on Structural and Multidisciplinary Optimization, 2005.
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[60] Yaochu Jin, Bernhard Sendhoff and Edgar Körner. Evolutionary multi-objective model selection: A step towards smooth transition between signal-type and symbol-type representations? In Third International Conference on Evolutionary Multi-Criterion Optimization EMO, Springer Verlag, 2005.
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[59] Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda and Toshiyuki Arima. Three-dimensional aerodynamic optimization for an ultra-low aspect ratio transonic turbine stator blade. In Proceedings of the ASME Turbo Expo, 2005.
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[58] Vineet Khare, Xin Yao and Bernhard Sendhoff. Credit assignment among neurons in co-evolving populations. In Parallel Problem Solving from Nature (PPSN), Springer Verlag, 2004.
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[57] Tatsuya Okabe, Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. On test functions for evolutionary multi-objective optimization. In Parallel Problem Solving from Nature (PPSN), Springer Verlag, 2004.
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[56] Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Evolutionary multi-objective approach to constructing neural network ensembles for regression. In Applications of Multi-objective Evolutionary Algorithms, World Scientific, 2004.
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[55] Razvan Enache, Bernhard Sendhoff, Markus Olhofer and Martina Hasenjäger. Steady-state evolution strategies - A comparative study. In Parallel Problem Solving from Nature (PPSN), Springer Verlag, 2004.
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[54] Georg Schneider, Heiko Wersing, Bernhard Sendhoff and Edgar Körner. Coupling of evolution and learning to optimize a hierarchical object recognition model. In Parallel Problem Solving from Nature (PPSN), Springer Verlag, 2004.
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[53] Tatsuya Okabe, Markus Olhofer, Yaochu Jin and Bernhard Sendhoff. Evolutionary multi-objective optimization on micro heat exchanger (in Japanese). In Annual Conference of Japan Society of Fluid Mechanics, 2004.
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[52] Georg Schneider, Heiko Wersing, Bernhard Sendhoff and Edgar Körner. Evolution of hierarchical features for visual object recognition. In Conference on Self-organization of Adaptive Behaviour (SOAVE), 2004.
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[51] Alexandra Mark, Heiko Wersing and Bernhard Sendhoff. A decision making architecture which uses anticipation, learning and evolutionary computation. In Conference on Self-organization of Adaptive Behaviour (SOAVE), 2004.
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[50] Yaochu Jin and Bernhard Sendhoff. Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. In Proceedings of the Genetic and Evolutionary Computation Conference GECCO, Springer Verlag, 2004.
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[49] Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. Voronoi-based Estimation of Distribution Algorithm for Multi-objective Optimization. In Congress on Evolutionary Computation (CEC), IEEE Press, 2004.
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[48] Alexandra Mark, Bernhard Sendhoff and Heiko Wersing. A Decision Making Framework for Game Playing Using Evolutionary Optimization and Learning. In Congress on Evolutionary Computation (CEC), IEEE Press, 2004.
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[47] Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Neural network regularization and ensembling using multi-objective evolutionary algorithms. In Congress on Evolutionary Computation (CEC), IEEE Press, 2004.
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[46] Yaochu Jin and Bernhard Sendhoff. Constructing Dynamic Optimization Test Problems Using the Multi-Objective Optimization Concept. In Applications of Evolutionary Computation, EvoWorkshops, pp. 525-536, Springer Verlag, 2004.
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[45] Bernhard Sendhoff, Hans-Georg Beyer and Markus Olhofer. The influence of stochastic quality functions on evolutionary search. In K.C. Tan, M.H. Lim, X. Yao and L. Wang (Eds.) Recent Advances in Simulated Evolution and Learning, 2003, World-Scientitic.
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[44] Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin and Bernhard Sendhoff. Comparative studies on micro heat exchanger optimization. In Congress on Evolutionary Computation (CEC), IEEE Press, 2003.
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[43] Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. A critical survey of performance indices for multi-objective optimization. In Congress on Evolutionary Computation (CEC), IEEE Press, 2003.
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[42] Yaochu Jin and Bernhard Sendhoff. Connectedness, regularity and the success of local search in evolutionary multi-objective optimization. In Congress on Evolutionary Computation (CEC), IEEE Press, 2003.
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[41] Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. Evolutionary multi-objective optimisation with a hybrid representation. In Congress on Evolutionary Computation (CEC), IEEE Press, 2003.
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[40] Wei-Wen Chang, Chan-Jin Chung and Bernhard Sendhoff. Target shape design optimization with evolutionary computation. In Congress on Evolutionary Computation (CEC), IEEE Press, 2003.
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[39] Lars Willmes, Thomas Bäck, Yaochu Jin and Bernhard Sendhoff. Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. In Congress on Evolutionary Computation (CEC), IEEE Press, 2003.
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[38] Toyotaka Sonoda, Yoshihiro Yamaguchi, Toshiyuki Arima, Markus Olhofer, Bernhard Sendhoff and Heinz-Adolf Schreiber. Advanced high turning compressor airfoils for low Reynolds number condition. Part 1: Design and optimization. In Proceedings of the ASME Turbo Expo, 2003.
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[37] Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Solving three objective optimization problems using evolutionary dynamic weighted aggregation: Results and analysis. In Proceedings of the Genetic and Evolutionary Computation Conference, LNCS, pages 636-637, 2003.
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[36] Yaochu Jin and Bernhard Sendhoff. Trade-off between Performance and Robustness: An Evolutionary Multiobjective Approach. In C.M. Fonseca et al. Second International Conference on Evolutionary Multi-Criterion Optimization EMO, pages 237-251, LNCS, Springer Verlag, 2003.
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[35] Gavin Brown, Xin Yao, Jeremy Wyatt, Heiko Wersing and Bernhard Sendhoff. Exploiting Ensemble Diversity for Automatic Feature Extraction. In L. Wang et al. 9th International Conference on Neural Information Processing - ICONIP, pages 1886-1790, volume 4, 2002.
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[34] Bernhard Sendhoff, Hans-Georg Beyer and Markus Olhofer. On noise induced multi-modality in evolutionary algorithms. In L. Wang et al. 4th Asia-Pacific Conference on Simulated Evolution And Learning - SEAL, pages 219-224, volume 1, 2002.
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[33] Yaochu Jin and Bernhard Sendhoff. Incorporation of Fuzzy Preferences into Evolutionary Multiobjective Optimisation. In L. Wang et al. 4th Asia-Pacific Conference on Simulated Evolution And Learning - SEAL, pages 26-30, volume 1, 2002.
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[32] Georg Schneider, Heiko Wersing, Bernhard Sendhoff and Edgar Körner. Evolutionary Feature Design for Object Recognition with Hierarchical Networks. In L. Wang et al. 9th International Conference on Neural Information Processing - ICONIP, pages 1936-1940, volume 4, 2002.
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[31] Hans-Georg Beyer, Markus Olhofer and Bernhard Sendhoff. On the Behavior of (m/mI, l)-ES Optimizing Functions Disturbed by Generalized Noise. In de Jong et al. Foundations of Genetic Algorithms VII, pages 307-328, 2002.
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[30] Michael Hüsken and Yaochu Jin and Bernhard Sendhoff. Structure Optimization of Neural Networks for Evolutionary Design Optimization In Proceedings of the Genetic and Evolutionary Computation Conference GECCO - Workshop, Morgan Kaufmann, 2002.
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[29] Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. On the Dynamics of Evolutionary Multi-Objective Optimization. In Proceedings of the Genetic and Evolutionary Computation Conference GECCO, pages 247-255, Morgan Kaufmann, 2002.
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[28] Yaochu Jin and Bernhard Sendhoff. Fitness Approximation in Evolutionary Computation: A Survey. In Proceedings of the Genetic and Evolutionary Computation Conference GECCO, pages 1105-1113, Morgan Kaufmann, 2002.
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[27] Yaochu Jin and Bernhard Sendhoff. Incorporation of Fuzzy Preferences into Evolutionary Multiobjective Optimisation In Proceedings of the Genetic and Evolutionary Computation Conference GECCO, page 683 (poster), Morgan Kaufmann, 2002.
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[26] Markus Olhofer, Toshiyuki Arima, Toyotaka Sonoda, Markus Fischer and Bernhard Sendhoff. Aerodynamic Shape Optimisation Using Evolution Strategies. In I. Parmee and P. Hajela Optimisation in Industry III, pages 83-94, Springer Verlag, 2001.
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[25] Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. Managing Approximate Models in Evolutionary Aerodynamic Design Optimization. In Congress on Evolutionary Computation (CEC), IEEE Press, volume 2, pages 592-599, IEEE Press, 2001.
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[24] Markus Olhofer, Yaochu Jin and Bernhard Sendhoff. Adaptive encoding for aerodynamic shape optimization using Evolution Strategies. In Congress on Evolutionary Computation (CEC), volume 2, pages 576-583, IEEE Press, 2001.
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[23] Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. Dynamic Weighted Aggregation for Evolutionary Multi-Objective Optimization: Why Does It Work and How? In Proceedings of the Genetic and Evolutionary Computation Conference GECCO, pages 1042-1049, Morgan Kaufmann, 2001.
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[22] Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Adapting Weighted Aggregation for Multiobjective Evolution Strategies. In International Conference on Evolutionary Multi-Criteria Optimization, pages 96-110, Springer Verlag, 2001.
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[21] Bernhard Sendhoff, Ursula Körner and Edgar Körner. On the integration of biological constraints into the evolution of artificial neural systems. In Proceedings of the 7th International Conference on Neural Information Processing, volume 2, pages 903-908, 2000.
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[20] Michael Hüsken and Bernhard Sendhoff. Evolutionary Optimization for Problem Classes with Lamarckian Inheritance. In Proceedings of the 7th International Conference on Neural Information Processing, volume 2, pages 897-902, 2000.
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[19] Martin Kreutz, Anja Busse and Bernhard Sendhoff. Evolution of adaptive nonlinear models. In Proceedings of the 7th International Conference on Neural Information Processing volume 2, pages 885-890, 2000.
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[18] Bernhard Sendhoff. Evolutionary optimised ontogenetic neural networks with incremental problem complexity during development. In Congress on Evolutionary Computation (CEC), pages 1443-1450, IEEE Press, 2000.
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[17] Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. On evolutionary optimisation with approximate fitness functions. In Proceedings of the Genetic and Evolutionary Computation Conference GECCO, pages 786-793, Morgan Kaufmann, 2000.
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[16] Michael Hüsken, Jens Gayko and Bernhard Sendhoff. Optimisation for problem classes - neural networks that learn to learn. In First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks, pages , IEEE Press, 98-109, 2000.
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[15] Markus Olhofer, Toshiyuki Arima, Toyotaka Sonoda and Bernhard Sendhoff. Optimisation of a stator blade used in a transonic compressor cascade with evolution strategies. In I.C. Parmee, editor, Adaptive Computing in Design and Manufacture (ACDM), pages 45-54, Springer Verlag, 2000.
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[14] Bernhard Sendhoff and Martin Kreutz. Variable encoding of modular neural networks for time series prediction. In V.W. Porto, editor, Congress on Evolutionary Computation (CEC), pages 259-266, IEEE Press, 1999.
(pictures of the connection matrices and a VRML visualization of the neural networks)

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[13] Peter Stagge and Bernhard Sendhoff. Organisation of Past States in Recurrent Neural Networks: Implicit Embedding. In M.Mohammadian, editor, Computational Intelligence for Modelling Control & Automation (CIMCA'99, Vienna), pages 21-28, IOS Press 1999.
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[12] Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs and Werner von Seelen. Structure optimization of density estimation models applied to regression problems with dynamic noise. In David Heckerman and Joe Whittaker, editors, Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, pages 237-242, Morgan Kaufmann, 1999.
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[11] Yaochu C. Jin, Werner von Seelen and Bernhard Sendhoff. An Approach to Rule-Based Knowledge Extraction. Proceedings IEEE International Conference on Fuzzy Systems, Anchorage, Alaska, 1998.
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[10] Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs and Werner von Seelen. Optimisation of Density Estimation Models with Evolutionary Algorithms. In A.E. Eiben, Th. Bäck, M. Schoenauer and H.P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN V, pages 998-1007, Lecture Notes in Computer Science 1498, Springer, 1998.
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[9] Bernhard Sendhoff, Martin Kreutz and Werner von Seelen. A condition for the genotype-phenotype mapping: Causality. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms (ICGA'97), pages 73-80, Morgan Kauffmann, San Francisco, 1997.
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[8] Peter Stagge and Bernhard Sendhoff. An Extended Elman Net for Modeling Time Series. In W. Gerstner, A. Germond, M. Hasler and J. Nicoud, editors, Artificial Neural Networks (ICANN'97), Lecture Notes in Computer Science, pages 427-432, Springer Verlag, 1997.
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[7] Jens Gayko and Reinhard Lohmann and Heiko Voss and Bernhard Sendhoff and Thomas Zamzow. Application of structure evolution to system state diagnosis. In A.B. Bulsari and S. Kallio, editors, Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN '97), Stockholm, pages 233-236, 1997.
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[6] Christian Goerick, Bernhard Sendhoff and Werner von Seelen. From Neural Networks to Neural Strategies. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, ICASSP97, IEEE Press, 1997.
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[5] Bernhard Sendhoff, Clemens Pötter and Werner von Seelen. The role of information in simulated evolution. In Y. Bar-Yam, editor, Unifying Themes in Complex Systems - Proceedings of the International Conference on Complex Systems 1997, pages 453-470, Perseus Book, 2000.
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[4] Bernhard Sendhoff and Martin Kreutz. Analysis of possible genome - dependence of mutation rates in Genetic Algorithms. In Terence C. Fogarty, editor, Evolutionary Computing - selected papers from the 1996 AISB Workshop, volume 1134 of Lecture Notes in Computer Science, pages 257-269, Springer Verlag, September 1996.
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[3] Bernhard Sendhoff. Maple procedures to simplify special vector and tensor terms. Maple Summer Workshop and Symposium, University of Michigan, Ann Arbor, 1993.
 
Books
[2] Artificial Neural Networks - ICANN96, C. v. d. Malsburg, W. v. Seelen, J. C. Vorbrüggen, B. Sendhoff, eds., Springer Verlag, Berlin, Heidelberg, New York, volume 1112 of Lecture Notes in Computer Science, 1996.
 
[1] Creating Brain-like Intelligence, B. Sendhoff, E. Körner, O. Sporns, H. Ritter, K. Doya, eds., Springer Verlag, Berlin, Heidelberg, New York, volume 5436 of Lecture Notes in Computer Science, 2009. (Table of Content).
 
Thesis
Bernhard Sendhoff. Evolution of Structures - Optimization of Artificial Neural Structures for Information Processing. Doktorarbeit, Physik (Phd. thesis), Institut für Neuroinformatik, Fakultät für Physik, Ruhr-Universität Bochum, 1998. Shaker Verlag, ISBN 3-8265-4155-3 (Abstract) (Table of Contents).
 
Bernhard Sendhoff. Comparison of String Theories with Theories of Gravity. Diplomarbeit, Physik (master thesis), Fakultät für Physik, Ruhr-Universität Bochum, 1993.
 
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