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Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff, "On test functions for evolutionary multi-objective optimization", Parallel Problem Solving from Nature (PPSN), pp. 792–802, 2004.



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Ingo Paenke, "Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation", University of Karlsruhe, 2004.



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Razvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger, "Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures", Parallel Problem Solving from Nature – PPSN VIII, pp. 253–262, 2004.



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Yaochu Jin and Bernhard Sendhoff, "Constructing dynamic optimization test problems using the multi-objective optimization concept", Applications of Evolutionary Algorithms, vol. 3005, pp. 525–536, 2004.



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Yaochu Jin and Bernhard Sendhoff, "Reducing fitness evaluations using clustering techniques and neural network ensembles", Proceedings of Genetic and Evolutionary Computation, pp. 688–699, 2004.



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Alexandra Mark, Bernhard Sendhoff, Heiko Wersing, "A Decision Making Framework for Game Playing Using Evolutionary Optimization and Learning", 2004 Congress on Evolutionary Computation, vol. 1, pp. 373–380, 2004.



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Vineet Khare, Xin Yao, Bernhard Sendhoff, "Credit assignment among neurons in co-evolving populations", Parallel Problem Solving from Nature (PPSN), pp. 882–891, 2004.



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Bernhard Sendhoff, Hans-Georg Beyer, Markus Olhofer, "The influence of stochastic quality functions on evolutionary search", Recent Advances in Simulated Evolution and Learning, pp. 152-172, 2004.



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Stephan Hasler, "Optimierung hierarchischer visueller Merkmale durch Kopplung von überwachtem und unüberwachtem Lernen", Fakultät für Informatik und Automatisierung, Technische Universität Ilmenau, 2004.



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Julian Eggert, Heiko Wersing, Edgar Körner, "Transformation-invariant representation and NMF", 2004 IEEE International Joint Conference on Neural Networks, pp. 2535–2539, 2004.



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