Genetic Programming Bibliography entries for David Grochol

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GP coauthors/coeditors: Lukas Sekanina, Martin Zadnik, Jan Korenek, V Kosar,

Genetic Programming Articles by David Grochol

Genetic Programming conference papers by David Grochol

  1. David Grochol and Lukas Sekanina. Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, Parma, Italy, 2018. Springer Verlag. forthcoming. details

  2. David Grochol and Lukas Sekanina. Multi-objective evolution of hash functions for high speed networks. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1533-1540, Donostia, San Sebastian, Spain, 2017. IEEE. details

  3. David Grochol and Lukas Sekanina. Evolutionary Design of Fast High-quality Hash Functions for Network Applications. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 901-908, Denver, USA, 2016. ACM. details

  4. David Grochol and Lukas Sekanina. Comparison of Parallel Linear Genetic Programming Implementations. In Radek Matousek editor, Proceedings of the 22nd International Conference on Soft Computing (MENDEL 2016), volume 576, pages 64-76, Brno, Czech Republic, 2016. Springer. details

  5. David Grochol and Lukas Sekanina and Martin Zadnik and Jan Korenek. A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP. In Antonio M. Mora and Giovanni Squillero editors, 18th European Conference on the Applications of Evolutionary Computation, volume 9028, pages 67-78, Copenhagen, 2015. Springer. details