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Yaochu Jin, Markus Olhofer, Bernhard Sendhoff, "On evolutionary optimization of large problems with small populations", Int. Conf. on Natural Computation, pp. 1145-1154, 2005.



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Inna Mikhailova and Christian Goerick, "Conditions of Activity Bubble Uniqueness in Dynamic Neural Fields", Biological Cybernetics, vol. 92, pp. 82-91, 2005.



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Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward Tsang, Tatsuya Okabe, "A model-based evolutionary algorithm for bi-objective optimization", Congress on Evolutionary Computation, pp. 2568-2575, 2005.



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Daniel Weiler, "Investigation and implementation of a form-based tracking system using Level-Sets", TU-Darmstadt, 2005.

Abstract

Level Set methods are numerical methods for curve and surface evolutions. Their relevance in Computer Vision was steadily increasing over the past years. This diploma thesis is divided into two parts. The first part gives an introduction into the Level Set theory and introduces the three basic Level Set evolutions termed motion in an external velocity field, motion in the normal direction and constructing signed distance functions. Furthermore a ...



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Sven Rebhan, "Untersuchung von transformationsbasierten Invarianzeigenschaften in hierarchischen neuronalen Netzen", Fakultät für Informatik und Automatisierung, Technische Universität Ilmenau, 2005.



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Andreas Knoblauch, "Neural associative memory for brain modeling and information retrieval", Information Processing Letters, vol. 95, pp. 537–544, 2005.



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Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda, Toshiyuki Arima, "Three dimensional evolutionary aerodynamic design optimization with CMA-ES", {GECCO 2005}: Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, pp. 2173-2180, 2005.



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Michael Nashvili, Markus Olhofer, Bernhard Sendhoff, "Morphing methods in evolutionary design optimization", Proceedings of the Genetic and Evolutionary Computation Conference - GECCO, pp. 897-904, 2005.



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Vineet Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing, "Co-evolutionary Modular Neural Networks for Automatic Problem Decomposition", Congress on Evolutionary Computation (CEC), pp. 2691-2698, 2005.



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Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda, Toshiyuki Arima, "Three dimensional aerodynamic optimization for an ultra-low aspect ratio transonic turbine stator blade", Proceedings of the ASME Turbo Expo, 2005.



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