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Markus Olhofer, Toshiyuki Arima, Toyotaka Sonoda, Bernhard Sendhoff, "Optimisation of a stator blade used in a transonic compressor cascade with evolution strategies", Adaptive Computing in Design and Manufacture (ACDM), pp. 45-54, 2000.



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Michael Hüsken, Jens Gayko, Bernhard Sendhoff, "Optimization for Problem Classes – Neural Networks that Learn to Learn", IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks, 2000.



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Michael Hüsken and Bernhard Sendhoff, "Evolutionary Optimization for Problem Classes with Lamarckian Inheritance", Seventh International Conference on Neural Information Processing – Proceedings, pp. 897-902, 2000.



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Julian Eggert and Jan van Hemmen, "A unifying framework for neuronal assembly dynamics", Physical Review E, vol. 2, no. 61, pp. 1855–1874, 2000.



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Yaochu Jin, Markus Olhofer, Bernhard Sendhoff, "On evolutionary optimization with approximate fitness functions", Proceedings of the Genetic and Evolutionary Computation Conference GECCO, pp. 786-793, 2000.



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Andrea Vogel, Christian Goerick, Werner von Seelen, "Evolutionary Algorithms for Optimizing Traffic Signal Operation", ESIT 2000 - Proceedings of the European Symposium on Intelligent Technique, 2000.



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Yaochu Jin, "Fuzzy Modeling of High-Dimensional Systems: Complexity Reduction and Interpretability Improvement", IEEE Transactions on Fuzzy Systems, vol. 8, no. 2, pp. 212–220, 2000.



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Christian Goerick, "Analyzing Learning Dynamics: How to Average?", IJCNN2000, Proceedings of the International Joint Conference on Artificial Neural Networks, 2000.



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Michael Hüsken and Christian Goerick, "Fast Learning for Problem Classes using a Knowledge Based Network Initialization", IJCNN2000, Proceedings of the International Joint Conference on Artificial Neural Networks, 2000.



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Yaochu Jin and Bernhard Sendhoff, "Knowledge Incorporation into Neural Networks From Fuzzy Rules", Neural Processing Letters, vol. 10, no. 3, pp. 231–242, 1999.



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