Genetic Programming Bibliography entries for Thomas Back

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GP coauthors/coeditors: U Hammel, Hans-Paul Schwefel, David B Fogel, L Darrell Whitley, Peter John Angeline, Ron Breukelaar, Lars Willmes, Roman Tobias Kalkreuth, Zdenek Vasicek, Jakub Husa, Diederick Vermetten, Furong Ye, 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

• Jiaqi Zhao and Vitor Basto Fernandes and Licheng Jiao and Iryna Yevseyeva and Asep Maulana and Rui Li and Thomas Back and Ke Tang and Michael T. M. Emmerich. Multiobjective Optimization of Classifiers by Means of 3D Convex-Hull-Based Evolutionary Algorithms. Information Sciences, 367-368:80-104, 2016. details

• Pu Wang and Michael Emmerich and Rui Li and Ke Tang and Thomas Baeck and Xin Yao. Convex Hull-Based Multi-objective Genetic Programming for Maximizing Receiver Operating Characteristic Performance. IEEE Transactions on Evolutionary Computation, 19(2):188-200, 2015. details

• Thomas Back and U. Hammel and H.-P. Schwefel. Evolutionary computation: comments on the history and current state. IEEE Transactions on Evolutionary Computation, 1(1):3-17, 1997. details

Genetic Programming conference papers by Thomas Back

1. 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

2. 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

3. 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

4. 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

5. 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

• Thomas Back and David B. Fogel and Darrell Whitley and Peter J. Angeline. Mutation operators. In Thomas Baeck and David B. Fogel and Zbigniew Michalewicz editors, Evolutionary Computation 1 Basic Algorithms and Operators, chapter 32, pages 237-255. Institute of Physics Publishing, Bristol, 2000. details

Genetic Programming other entries for Thomas Back

• Jiaqi Zhao and Vitor Basto Fernandes and Licheng Jiao and Iryna Yevseyeva and Asep Maulana and Rui Li and Thomas Baeck and Michael T. M. Emmerich. Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm. 2014. Comment: 32 pages, 26 figures. details

• Pu Wang and Michael Emmerich and Rui Li and Ke Tang and Thomas Baeck and Xin Yao. Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance. 2013. v2. details