Genetic Programming Bibliography entries for Roman Tobias Kalkreuth

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GP coauthors/coeditors: Kirill Antonov, Kaifeng Yang, Thomas Back, Niki van Stein, Anna V Kononova, Jakub Husa, Guenter Rudolph, Jorg Krone, Joerg Krone, Andre Droschinsky, Leo Francoso Dal Piccol Sotto, Zdenek Vasicek, Diederick Vermetten, Furong Ye, Paul Kaufmann, Fu Xing Long, James McDermott, Gabriel Kronberger, Patryk Orzechowski, Leonardo Vanneschi, Luca Manzoni, Mauro Castelli, Timothy Atkinson, Marcio Porto Basgalupp,

Genetic Programming Articles by Roman Tobias Kalkreuth

Genetic Programming PhD doctoral thesis Roman Tobias Kalkreuth

Genetic Programming conference papers by Roman Tobias Kalkreuth

  1. Roman Kalkreuth and Thomas Baeck. CGP++: A Modern C++ Implementation of Cartesian Genetic Programming. In Carola Doerr and Arnaud Liefooghe and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 13-22, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Kirill Antonov and Roman Kalkreuth and Kaifeng Yang and Thomas Baeck and Niki Stein and Anna Kononova. A Functional Analysis Approach to Symbolic Regression. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 859-867, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Roman Kalkreuth and Zdenek Vasicek and Jakub Husa and Diederick Vermetten and Furong Ye and Thomas Baeck. Towards a General Boolean Function Benchmark Suite. 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 591-594, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. Fu Xing Long and Diederick Vermetten and Anna V. Kononova and Roman Kalkreuth and Kaifeng Yang and Thomas Baeck and Niki van Stein. Challenges of ELA-Guided Function Evolution Using Genetic Programming. In Niki van Stein and Francesco Marcelloni and H. K. Lam and Marie Cottrell and Joaquim Filipe editors, Proceedings of the 15th International Joint Conference on Computational Intelligence, IJCCI 2023, Rome, Italy, November 13-15, 2023, pages 119-130, 2023. SCITEPRESS. details

  5. Roman Kalkreuth. Phenotypic Duplication and Inversion in Cartesian Genetic Programming applied to Boolean Function Learning. 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 566-569, Boston, USA, 2022. Association for Computing Machinery. details

  6. Roman Kalkreuth. Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming. In Guenter Rudolph and Anna V. Kononova and Hernan E. Aguirre and Pascal Kerschke and Gabriela Ochoa and Tea Tusar editors, Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Proceedings, Part II, volume 13399, pages 63-77, Dortmund, Germany, 2022. Springer. details

  7. Roman Kalkreuth. Towards Phenotypic Duplication and Inversion in Cartesian Genetic Programming. In Thomas B\"ack and Bas van Stein and Christian Wagner and Jonathan M. Garibaldi and H. K. Lam and Marie Cottrell and Faiyaz Doctor and Joaquim Filipe and Kevin Warwick and Janusz Kacprzyk editors, Proceedings of the 14th International Joint Conference on Computational Intelligence, IJCCI 2022, Valletta, Malta, October 24-26, 2022, pages 50-61, 2022. SCITEPRESS. details

  8. Roman Kalkreuth and Leo Francoso Dal Piccol Sotto and Zdenek Vasicek. Graph-based genetic programming. In Jonathan E. Fieldsend and Markus Wagner editors, GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9 - 13, 2022, pages 958-982, 2022. ACM. details

  9. Roman Kalkreuth. Crossover in Cartesian Genetic Programming: Evaluation of Two Phenotypic Methods. In Computational Intelligence, pages 44-72, 2021. Springer. details

  10. Roman Kalkreuth. An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming. In Computational Intelligence, 2021. Springer. details

  11. Leo Francoso D. P. Sotto and Paul Kaufmann and Timothy Atkinson and Roman Kalkreuth and Marcio Porto Basgalupp. A Study on Graph Representations for Genetic Programming. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 931-939, internet, 2020. Association for Computing Machinery. details

  12. Paul Kaufmann and Roman Kalkreuth. On the Parameterization of Cartesian Genetic Programming. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24558, internet, 2020. IEEE Press. details

  13. Roman Kalkreuth. A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming. In Juan Julian Merelo Guervos and Jonathan M. Garibaldi and Christian Wagner and Thomas Baeck and Kurosh Madani and Kevin Warwick editors, Proceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020, Budapest, Hungary, November 2-4, 2020, pages 59-70, 2020. SCITEPRESS. details

  14. Roman Kalkreuth and Andre Droschinsky. On the Time Complexity of Simple Cartesian Genetic Programming. In Juan Julian Merelo Guervos and Jonathan M. Garibaldi and Alejandro Linares-Barranco and Kurosh Madani and Kevin Warwick editors, Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria, September 17-19, 2019, pages 172-179, 2019. ScitePress. details

  15. Roman Kalkreuth. Two New Mutation Techniques for Cartesian Genetic Programming. In Juan Julian Merelo Guervos and Jonathan M. Garibaldi and Alejandro Linares-Barranco and Kurosh Madani and Kevin Warwick editors, Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria, September 17-19, 2019, pages 82-92, 2019. ScitePress. details

  16. Jakub Husa and Roman Kalkreuth. A Comparative Study on Crossover in Cartesian Genetic Programming. 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, pages 203-219, Parma, Italy, 2018. Springer Verlag. details

  17. Paul Kaufmann and Roman Kalkreuth. Parametrizing Cartesian Genetic Programming: An Empirical Study. In Gabriele Kern-Isberner and Johannes Fuernkranz and Matthias Thimm editors, KI 2017: Advances in Artificial Intelligence - 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017, Proceedings, volume 10505, pages 316-322, 2017. Springer. details

  18. Paul Kaufmann and Roman Kalkreuth. An Empirical Study on the Parametrization of Cartesian Genetic Programming. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 231-232, Berlin, Germany, 2017. ACM. details

  19. Roman Kalkreuth and Guenter Rudolph and Andre Droschinsky. A New Subgraph Crossover for Cartesian Genetic Programming. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 294-310, Amsterdam, 2017. Springer Verlag. details

  20. Roman Kalkreuth and Guenter Rudolph and Joerg Krone. More Efficient Evolution of Small Genetic Programs in Cartesian Genetic Programming by Using Genotypic Age. In Yun Li editor, 2016 IEEE Congress of Evolutionary Computation, pages 5052-5059, Vancouver, 2016. IEEE. details

  21. Roman Kalkreuth and Guenter Rudolph and Jorg Krone. Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection. In 2015 IEEE Symposium Series on Computational Intelligence, pages 1415-1422, 2015. details

Genetic Programming other entries for Roman Tobias Kalkreuth