Genetic Programming Bibliography entries for Joerg Stork

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GP coauthors/coeditors: Oliver Flasch, Martina Friese, Ekaterina (Katya) Vladislavleva, Thomas Bartz-Beielstein, Olaf Mersmann, Boris Naujoks, Martin Zaefferer, Alexander Hagg, Adam Gaier, Gusz Eiben,

Genetic Programming conference papers by Joerg Stork

  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. Alexander Hagg and Martin Zaefferer and Joerg Stork and Adam Gaier. Prediction of neural network performance by phenotypic modeling. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1576-1582, Prague, Czech Republic, 2019. ACM. details

  4. 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

  5. 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

  6. 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