[LEEBBDR09]	Rui Li, Michael T.M. Emmerich, Jeroen Eggermont, Ernst G.P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, and Hans Reiber. Optimizing a medical image analysis system using mixed-integer evolution strategies. In S. Cagnoni et al, editor, Evolutionary Image Analysis and Signal Processing, Studies in Computational Intelligence series, volume 213. Springer, 2009. [ bib ]
[SB05]	Ofer M. Shir and Thomas Back. Niching in evolution strategies. Technical report, LIACS, Leiden University, 2005. [ bib ]
[ESESB05]	Carsten Ernemann, Uwe Schwiegelshohn, Michael Emmerich, Lutz Schönemann, and Nicola Beume. Scheduling algorithm development based on complex owner defined objectives. Technical Report of the Collaborative Research Centre 531 Computational Intelligence CI-190/05, University of Dortmund, January 2005. [ bib ]
[E05]	Michael Emmerich. Single- and multi-objective evolutionary design optimization assisted by Gaussian random field metamodels. eldorado, University of Dortmund, 2005. http://hdl.handle.net/2003/21807. [ bib ]
[S04]	Ofer M. Shir. Niching in evolution strategies. Master's thesis, LIACS, Leiden University, November 2004. [ bib ]
[B04]	Ron Breukelaar. Evolving transition rules for cellular automata with multiple dimensions. Master's thesis, LIACS, Leiden University, Leiden, The Netherlands, 2004. [ bib ]
[BHK03]	Ron Breukelaar, Hendrik Jan Hoogeboom, and Walter Kosters. Tetris is hard, made easy. Technical report, LIACS, Leiden University, 2003. [ bib ]
[BHZ03]	Thomas Bäck, Claus Hillermeier, and Jörg Ziegenhirt. Routing optimization in corporate networks by evolutionary algorithms. In A. Ghosh and S. Tsutsui, editors, Advances in Evolutionary Computing, pages 739-753. Springer, Berlin, 2003. [ bib ]

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