Genetic Programming Bibliography entries for Dominik Sobania

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GP coauthors/coeditors: Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Lee Spector, Alexander Lalejini, Franz Rothlauf, Charles Ofria, Alexander E I Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Christian Olmscheid, David Wittenberg, Dirk Schweim, Erik Hemberg, Una-May O'Reilly, Jonas Schmitt, Harald Koestler, Philipp Roechner,

Genetic Programming Articles by Dominik Sobania

  1. Alexander Edward Ian Brownlee and James Callan and Karine Even-Mendoza and Alina Geiger and Carol Hanna and Justyna Petke and Federica Sarro and Dominik Sobania. Large Language Model Based Mutations in Genetic Improvement. Automated Software Engineering, 2024. Accepted, to appearSpecial Issue on Advances in Search-Based Software. details

  2. Ryan Boldi and Martin Briesch and Dominik Sobania and Alexander Lalejini and Thomas Helmuth and Franz Rothlauf and Charles Ofria and Lee Spector. Informed Down-Sampled Lexicase Selection: Identifying Productive Training Cases for Efficient Problem Solving. Evolutionary Computation, 32(4):307-337, 2024. details

  3. Dominik Sobania and Dirk Schweim and Franz Rothlauf. A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation, 27(1):82-97, 2023. details

  4. Dominik Sobania and Jonas Schmitt and Harald Koestler and Franz Rothlauf. Genetic programming for iterative numerical methods. Genetic Programming and Evolvable Machines, 23(2):253-278, 2022. details

  5. Dominik Sobania and Justyna Petke and Martin Briesch and Franz Rothlauf. A Comparison of Large Language Models and Genetic Programming for Program Synthesis. IEEE Transactions on Evolutionary Computation. Early Access. details

Genetic Programming PhD doctoral thesis Dominik Sobania

Genetic Programming conference papers by Dominik Sobania

  1. Martin Briesch and Ryan Boldi and Dominik Sobania and Alexander Lalejini and Thomas Helmuth and Franz Rothlauf and Charles Ofria and Lee Spector. Improving Lexicase Selection with Informed Down-Sampling. In Marcus Gallagher editor, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 25-26, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Ryan Boldi and Ashley Bao and Martin Briesch and Thomas Helmuth and Dominik Sobania and Lee Spector and Alexander Lalejini. A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 487-490, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Alina Geiger and Dominik Sobania and Franz Rothlauf. A Comprehensive Comparison of Lexicase-Based Selection Methods for Symbolic Regression Problems. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 192-208, Aberystwyth, 2024. Springer. details

  4. Ryan Boldi and Ashley Bao and Martin Briesch and Thomas Helmuth and Dominik Sobania and Lee Spector and Alexander Lalejini. Untangling the Effects of Down-Sampling and Selection in Genetic Programming. In Andres Faina and Sebastian Risi and Eric Medvet and Kasper Stoy and Bert Chan and Karine Miras and Payam Zahadat and Djordje Grbic and Giorgia Nadizar editors, ALIFE 2024: Proceedings of the 2024 Artificial Life Conference, pages 705-716, Copenhagen, 2024. MIT Press. details

  5. Alina Geiger and Dominik Sobania and Franz Rothlauf. Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1109-1117, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  6. Martin Briesch and Dominik Sobania and Franz Rothlauf. On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 535-538, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  7. Ryan Boldi and Ashley Bao and Martin Briesch and Thomas Helmuth and Dominik Sobania and Lee Spector and Alexander Lalejini. The Problem Solving Benefits of Down-Sampling Vary by Selection Scheme. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 527-530, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  8. Dominik Sobania and Martin Briesch and Philipp Roechner and Franz Rothlauf. MTGP: Combining Metamorphic Testing and Genetic Programming. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 324-338, Brno, Czech Republic, 2023. Springer Verlag. details

  9. Alexander E. I. Brownlee and James Callan and Karine Even-Mendoza and Alina Geiger and Carol Hanna and Justyna Petke and Federica Sarro and Dominik Sobania. Enhancing Genetic Improvement Mutations Using Large Language Models. In Paolo Arcaini and Tao Yue and Erik Fredericks editors, SSBSE 2023: Challenge Track, volume 14415, pages 153-159, San Francisco, USA, 2023. Springer. details

  10. Dominik Sobania and Dirk Schweim and Franz Rothlauf. Program Synthesis with Evolutionary Algorithms: Status Quo. In Marcus Gallagher editor, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 39-40, Boston, USA, 2022. Association for Computing Machinery. details

  11. Dominik Sobania and Martin Briesch and David Wittenberg and Franz Rothlauf. Analyzing Optimized Constants in Genetic Programming on a Real-World Regression Problem. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 606-607, Boston, USA, 2022. Association for Computing Machinery. details

  12. Dominik Sobania and Martin Briesch and Franz Rothlauf. Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 1019-1027, Boston, USA, 2022. Association for Computing Machinery. details

  13. Dominik Sobania and Franz Rothlauf. Program Synthesis with Genetic Programming: The Influence of Batch Sizes. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 118-129, Madrid, Spain, 2022. Springer Verlag. details

  14. Dirk Schweim and Erik Hemberg and Dominik Sobania and Una-May O'Reilly. Exploiting Knowledge from Code to Guide Program Search. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 262-277, Madrid, Spain, 2022. Springer Verlag. details

  15. Dirk Schweim and Dominik Sobania and Franz Rothlauf. Effects of the Training Set Size: A Comparison of Standard and Down-Sampled Lexicase Selection in Program Synthesis. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  16. Dominik Sobania and Franz Rothlauf. A Generalizability Measure for Program Synthesis with Genetic Programming. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 822-829, internet, 2021. Association for Computing Machinery. best paper. details

  17. Dominik Sobania. On the Generalizability of Programs Synthesized by Grammar-Guided Genetic Programming. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming, volume 12691, pages 130-145, Virtual Event, 2021. Springer Verlag. details

  18. Dirk Schweim and Erik Hemberg and Dominik Sobania and Una-May O'Reilly and Franz Rothlauf. Using Knowledge of Human-Generated Code to Bias the Search in Program Synthesis with Grammatical Evolution. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 331-332, internet, 2021. Association for Computing Machinery. details

  19. Christian Olmscheid and David Wittenberg and Dominik Sobania and Franz Rothlauf. Improving Estimation of Distribution Genetic Programming with Novelty Initialization. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 261-262, internet, 2021. Association for Computing Machinery. details

  20. Dominik Sobania and Franz Rothlauf. Challenges of Program Synthesis with Grammatical Evolution. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 211-227, Seville, Spain, 2020. Springer Verlag. details

  21. Dominik Sobania and Franz Rothlauf. Teaching GP to program like a human software developer: using perplexity pressure to guide program synthesis approaches. 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 1065-1074, Prague, Czech Republic, 2019. ACM. details

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