Genetic Programming Bibliography entries for Oliver Krauss

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GP coauthors/coeditors: Daniel Dorfmeister, Hanspeter Moessenboeck, Michael Affenzeller, William B Langdon, Westley Weimer, Christopher Timperley, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An,

Genetic Programming Articles by Oliver Krauss

Genetic Programming conference papers by Oliver Krauss

  1. William B. Langdon and Oliver Krauss. Evolving sqrt into 1/x via Software Data Maintenance. In Brad Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward editors, 9th edition of GI @ GECCO 2020, pages 1928-1936, Internet, 2020. ACM. details

  2. Oliver Krauss and Hanspeter Moessenboeck and Michael Affenzeller. Towards Knowledge Guided Genetic Improvement. In Shin Yoo and Justyna Petke and Westley Weimer and Bobby R. Bruce editors, GI @ ICSE 2020, pages 293-294, internet, 2020. ACM. details

  3. Oliver Krauss and W. B. Langdon. Automatically Evolving Lookup Tables for Function Approximation. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 84-100, Seville, Spain, 2020. Springer Verlag. details

  4. Daniel Dorfmeister and Oliver Krauss. Integrating HeuristicLab with Compilers and Interpreters for Non-Functional Code Optimization. In Stefan Wagner and Michael Affenzeller editors, GECCO 2020 Workshop on Evolutionary Computation Software Systems, pages 1580-1588, Internet, 2020. ACM. details

  5. Oliver Krauss and Hanspeter Moessenboeck and Michael Affenzeller. Mining Patterns from Genetic Improvement Experiments. In Justyna Petke and Shin Hwei Tan and William B. Langdon and Westley Weimer editors, GI-2019, ICSE workshops proceedings, pages 28-29, Montreal, 2019. IEEE. details

  6. Oliver Krauss. Towards a Framework for Stochastic Performance Optimizations in Compilers and Interpreters - An Architecture Overview. In Eli Tilevich editor, 15th International Conference on Managed Languages and Runtimes (ManLang'18), JKU Linz, Austria, 2018. details

  7. Oliver Krauss and Hanspeter Moessenboeck and Michael Affenzeller. Dynamic Fitness Functions for Genetic Improvement in Compilers and Interpreters. In Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo editors, 5th edition of GI @ GECCO 2018, pages 1590-1597, Kyoto, Japan, 2018. ACM. details

  8. Oliver Krauss. Genetic Improvement in Code Interpreters and Compilers. In Proceedings Companion of the 2017 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity, pages 7-9, Vancouver, BC, Canada, 2017. ACM. details

Genetic Programming technical reports by Oliver Krauss

Genetic Programming other entries for Oliver Krauss