Genetic Programming Bibliography entries for Thomas Back

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GP coauthors/coeditors: Kirill Antonov, Roman Tobias Kalkreuth, Kaifeng Yang, Niki van Stein, Anna V Kononova, U Hammel, Hans-Paul Schwefel, David B Fogel, L Darrell Whitley, Peter John Angeline, Ron Breukelaar, Lars Willmes, Zdenek Vasicek, Jakub Husa, Diederick Vermetten, Furong Ye, Fu Xing Long, Ofer M Shir, Hao Wang2, Yitan Lou, Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Xin Yao, Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana,

Genetic Programming Articles by Thomas Back

Genetic Programming conference papers by Thomas Back

  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. Thomas Baeck. Automatic Algorithm Configuration for Expensive Optimization Tasks. In Ting Hu and Charles Ofria and Leonardo Trujillo and Stephan Winkler editors, Genetic Programming Theory and Practice XX, Michigan State University, USA, 2023. Keynote. details

  6. Ofer M. Shir and Thomas Baeck. Sequential Experimentation by Evolutionary Algorithms. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 957-974, internet, 2020. Association for Computing Machinery. Tutorial. details

  7. Hao Wang2 and Yitan Lou and Thomas Baeck. Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2649-2656, Wellington, New Zealand, 2019. IEEE Press. details

  8. Thomas Baeck and Ron Breukelaar and Lars Willmes. Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm. In Jean-Pierre Banatre and Pascal Fradet and Jean-Louis Giavitto and Olivier Michel editors, Unconventional Programming Paradigms: International Workshop UPP 2004, volume 3566, pages 161-172, Le Mont Saint Michel, France, 2004. Springer. Revised Selected and Invited Papers, 2005. details

Genetic Programming book chapters by Thomas Back

Genetic Programming other entries for Thomas Back