Genetic Programming Bibliography entries for Stephan Hutterer
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
GP coauthors/coeditors:
Marlene Huml,
Rene Silye,
Gerald Zauner,
Kurt Schilcher,
Stefan Vonolfen,
Michael Affenzeller,
F Auinger,
Genetic Programming Articles by Stephan Hutterer
Genetic Programming conference papers by Stephan Hutterer
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Stephan Hutterer and Stefan Vonolfen and Michael Affenzeller.
Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flow. In
Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors,
GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1529-1536, Amsterdam, The Netherlands, 2013. ACM.
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S. Hutterer and M. Affenzeller and F. Auinger.
Evolutionary Computation Enabled Controlled Charging for E-Mobility Aggregators. In
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, Singapur, Singapore, 2013.
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Stephan Hutterer and Gerald Zauner and Marlene Huml and Rene Silye and Kurt Schilcher.
Data mining techniques for AFM- based tumor classification. In
IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2012), pages 105-111, 2012.
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