Genetic Programming Bibliography entries for Oliver Krauss

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GP coauthors/coeditors: Gabin An, Aymeric Blot, Vesna Nowack, Justyna Petke, James Callan, Federica Sarro, 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, Erik M Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B Cohen, Markus Wagner, Bobby R Bruce, Shin Yoo, Simos Gerasimou, Michael C Gerten, Daniel Blackwell,

Genetic Programming Articles by Oliver Krauss

  1. William B. Langdon and Gabin An and Aymeric Blot and Vesna Nowack and Justyna Petke and Shin Yoo and Oliver Krauss and Erik M. Fredericks and Daniel Blackwell. The 13th International Workshop on Genetic Improvement (GI @ ICSE 2024). SIGSOFT Software Engineering Notes, 49(3):42-50, 2024. details

  2. James Callan and Oliver Krauss and Justyna Petke and Federica Sarro. How Do Android Developers Improve Non-Functional Properties of Software?. Empirical Software Engineering, 27:Article 113, 2022. Topical Collection:Software Performance. details

  3. James Callan and Oliver Krauss and Justyna Petke and Federica Sarro. How do Android developers improve non-functional properties of software?. Empirical Software Engineering, 27(5):113, 2022. details

  4. William B. Langdon and Oliver Krauss. Genetic Improvement of Data for Maths Functions. ACM Transactions on Evolutionary Learning and Optimization, 1(2):Article No.: 7, 2021. details

  5. William B. Langdon and Westley Weimer and Justyna Petke and Erik Fredericks and Seongmin Lee and Emily Winter and Michail Basios and Myra B. Cohen and Aymeric Blot and Markus Wagner and Bobby R. Bruce and Shin Yoo and Simos Gerasimou and Oliver Krauss and Yu Huang and Michael Gerten. Genetic Improvement @ ICSE 2020. SIGSOFT Software Engineering Notes, 45(4):24-30, 2020. details

  6. Oliver Krauss. Virtual conferences: the next big thing or a temporary emergency measure?. SIGEVOlution, 13(2):2-5, 2020. details

  7. William B. Langdon and Westley Weimer and Christopher Timperley and Oliver Krauss and Zhen Yu Ding and Yiwei Lyu and Nicolas Chausseau and Eric Schulte and Shin Hwei Tan and Kevin Leach and Yu Huang and Gabin An. The State and Future of Genetic Improvement. SIGSOFT Software Engineering Notes, 44(3):25-29, 2019. details

Genetic Programming PhD doctoral thesis Oliver Krauss

Genetic Programming Conference proceedings edited by Oliver Krauss

Genetic Programming conference papers by Oliver Krauss

  1. Oliver Krauss. Exploring the Use of Natural Language Processing Techniques for Enhancing Genetic Improvement. In Vesna Nowack and Markus Wagner and Gabin An and Aymeric Blot and Justyna Petke editors, 12th International Workshop on Genetic Improvement @ICSE 2023, pages 21-22, Melbourne, Australia, 2023. IEEE. details

  2. Oliver Krauss. Amaru - A Framework for combining Genetic Improvement with Pattern Mining. In Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and W. B. Langdon and Justyna Petke editors, GI @ GECCO 2022, pages 1930-1937, Boston, USA, 2022. Association for Computing Machinery. details

  3. William B. Langdon and Oliver Krauss. Genetic Improvement of Data for Maths Functions*. In Carola Doerr editor, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 31-32, Internet, 2021. ACM. details

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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. ACM. details

  10. 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

  11. 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