Genetic Programming Bibliography entries for Thomas Bartz-Beielstein

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GP coauthors/coeditors: Jaume Bacardit, Ivan T Tanev, Jorn Mehnen, Lawrence David Davis, Carlos Artemio Coello Coello, Dara Curran, Thomas Jansen, Daniele Loiacono, Albert Orriols-Puig, Ryan J Urbanowicz, Simon Harding, William B Langdon, Man Leung Wong, Garnett Carl Wilson, Tony Lewis, Stephen L Smith, Stefano Cagnoni, Robert M Patton, William Michael Rand, Forrest Stonedahl, Gisele L Pappa, Alex Alves Freitas, Jerry Swan, John R Woodward, Maria J Blesa, Christian Blum, Steven M Gustafson, Ekaterina (Katya) Vladislavleva, Mark W Hauschild, Martin Pelikan, Ender Ozcan, Andrew J Parkes, Jonathan E Rowe, Pascal Bouvry, Samee U Khan, Gregoire Danoy, Alexandru-Adrian Tantar, Emilia Tantar, Bernabe Dorronsoro, Miguel Nicolau, L Darrell Whitley, Enrique Alba, Francisco Luna Valero, Gabriela Ochoa, Mike Preuss, Leonardo Vanneschi, Kent McClymont, Ed Keedwell, Emma Hart, Kevin Sim, Anne Auger, Bernd Bischl, Dimo Brockhoff, Nikolaus Hansen, Olaf Mersmann, Petr Posik, Heike Trautmann, Muhammad Iqbal, Kamran Shafi, Stefan Wagner, Michael Affenzeller, David Walker, Richard Everson, Jonathan E Fieldsend, Krzysztof Krawiec, Peter A N Bosman, Miguel Vega-Rodriguez, Jose M Chaves-Gonzalez, David L Gonzalez-Alvarez, Sergio Santander-Jimenez, Lee Spector, Maarten Keijzer, Kenneth L Holladay, Tea Tusar, Boris Naujoks, Oliver Flasch, Patrick Koch, Wolfgang Konen, Artur Davtyan, Tosin Daniel Oyetoyan, Michael Tamutan, Martina Friese, Joerg Stork, Martin Zaefferer, Gusz Eiben,

Genetic Programming Conference proceedings edited by Thomas Bartz-Beielstein

Genetic Programming conference papers by Thomas Bartz-Beielstein

  1. Joerg Stork and Martin Zaefferer and Thomas Bartz-Beielstein. Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels. In Paul Kaufmann and Pedro A. Castillo editors, 22nd International Conference, EvoApplications 2019, volume 11454, pages 504-519, Leipzig, Germany, 2019. Springer Verlag. details

  2. Joerg Stork and Martin Zaefferer and Thomas Bartz-Beielstein and A. E. Eiben. Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 934-942, Prague, Czech Republic, 2019. ACM. details

  3. Martin Zaefferer and Joerg Stork and Oliver Flasch and Thomas Bartz-Beielstein. Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. In Anne Auger and Carlos M. Fonseca and Nuno Lourenco and Penousal Machado and Luis Paquete and Darrell Whitley editors, 15th International Conference on Parallel Problem Solving from Nature, volume 11102, pages 220-231, Coimbra, Portugal, 2018. Springer. details

  4. Oliver Flasch and Martina Friese and Katya Vladislavleva and Thomas Bartz-Beielstein and Olaf Mersmann and Boris Naujoks and Joerg Stork and Martin Zaefferer. Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. In Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors, Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 172-181, Vienna, 2013. Springer Verlag. details

  5. Martina Friese and Oliver Flasch and Katya Vladislavleva and Thomas Bartz-Beielstein and Olaf Mersmann and Boris Naujoks and Joerg Stork and Martin Zaefferer. Ensemble-Based Model Selection for Smart Metering Data. In Eyke Huellermeier editor, Proceedings of the 22nd Workshop on Computational Intelligence, pages 215-227, Dortmund, Germany, 2012. KIT Scientific Publishing. details

  6. Oliver Flasch and Olaf Mersmann and Thomas Bartz-Beielstein. RGP: an open source genetic programming system for the R environment. In Daniel Tauritz editor, GECCO 2010 Late breaking abstracts, pages 2071-2072, Portland, Oregon, USA, 2010. ACM. details

  7. Oliver Flasch and Thomas Bartz-Beielstein and Artur Davtyan and Patrick Koch and Wolfgang Konen and Tosin Daniel Oyetoyan and Michael Tamutan. Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  8. Oliver Flasch and Thomas Bartz-beielstein and Patrick Koch and Wolfgang Konen. Clustering Based Niching for Genetic Programming in the R Environment. In Frank Hoffmann and Eyke Huellermeier editors, Proceedings 20. Workshop Computational Intelligence, pages 33-46, 2010. Universitaetsverlag Karlsruhe. details

  9. Oliver Flasch and Thomas Bartz-Beielstein and Patrick Koch and Wolfgang Konen. Genetic Programming Applied to Predictive Control in Environmental Engineering. In Frank Hoffmann and Eyke Huellermeier editors, Proceedings 19. Workshop Computational Intelligence, pages 101-113, Karlsruhe, 2009. KIT Scientific Publishing. details

Genetic Programming book chapters by Thomas Bartz-Beielstein