Genetic Programming Bibliography entries for Franz Rothlauf

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GP coauthors/coeditors: Martin Briesch, Dominik Sobania, Ryan Boldi, Alexander Lalejini, Thomas Helmuth, Charles Ofria, Lee Spector, Alina Geiger, Maarten Keijzer, Mike Cattolico, Dirk V Arnold, Vladan Babovic, Christian Blum, Peter A N Bosman, Martin V Butz, Carlos Artemio Coello Coello, Dipankar Dasgupta, Sevan G Ficici, James A Foster, Arturo Hernandez-Aguirre, Gregory S Hornby, Hod Lipson, Phil McMinn, Jason H Moore, Gunther R Raidl, Conor Ryan, Dirk Thierens, Christian Olmscheid, David Wittenberg, Giovanni Squillero, Rolf Drechsler, Thomas Stuetzle, Mauro Birattari, Clare Bates Congdon, Martin Middendorf, Carlos Cotta, Joern Grahl, Joshua D Knowles, David W Corne, Hans-Georg Beyer, Kenneth O Stanley, Julian F Miller, Jano I van Hemert, Tom Lenaerts, Marc Ebner, Jaume Bacardit, Michael O'Neill, Massimiliano Di Penta, Benjamin Doerr, Thomas Jansen, Riccardo Poli, Enrique Alba, David E Goldberg, Marie Caroline Oetzel, Dirk Schweim, Ann Thorhauer, Erik Hemberg, Una-May O'Reilly, Jonas Schmitt, Harald Koestler, Philipp Roechner, Justyna Petke, Leo Francoso Dal Piccol Sotto, Vinicius Veloso de Melo, Marcio Porto Basgalupp, Christian Gagne,

Genetic Programming Articles by Franz Rothlauf

  1. David Wittenberg and Franz Rothlauf and Christian Gagne. Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search. Genetic Programming and Evolvable Machines, 24(2):Article number: 17, 2023. Online first. details

  2. 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

  3. Leo Francoso Dal Piccol Sotto and Franz Rothlauf and Vinicius Veloso de Melo and Marcio P. Basgalupp. An Analysis of the Influence of Non-effective Instructions in Linear Genetic Programming. Evolutionary Computation, 30(1):51-74, 2022. 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. Dirk Schweim and David Wittenberg and Franz Rothlauf. On sampling error in genetic programming. Natural Computing, 21:173-186, 2022. details

  6. 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 Conference proceedings edited by Franz Rothlauf

Genetic Programming conference papers by Franz Rothlauf

  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. 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

  3. 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

  4. 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

  5. David Wittenberg and Franz Rothlauf. Small Solutions for Real-World Symbolic Regression using Denoising Autoencoder 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 101-116, Brno, Czech Republic, 2023. Springer Verlag. details

  6. 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

  7. David Wittenberg and Franz Rothlauf. Denoising Autoencoder Genetic Programming for Real-World Symbolic Regression. 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 612-614, Boston, USA, 2022. Association for Computing Machinery. details

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. David Wittenberg and Franz Rothlauf. Using denoising autoencoder LSTM networks to balance exploration and exploitation in estimation of distribution genetic programming. In 31st European Conference On Operational Research, Athens, 2021. details

  14. 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

  15. Dirk Schweim and David Wittenberg and Franz Rothlauf. On Sampling Error in Evolutionary Algorithms. In Carola Doerr editor, Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 43-44, internet, 2021. Association for Computing Machinery. details

  16. 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

  17. 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

  18. David Wittenberg and Franz Rothlauf and Dirk Schweim. DAE-GP: Denoising Autoencoder LSTM Networks as Probabilistic Models in Estimation of Distribution 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 1037-1045, internet, 2020. Association for Computing Machinery. details

  19. 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

  20. Franz Rothlauf. Representations for 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 526-546, internet, 2020. Association for Computing Machinery. Tutorial. details

  21. Leo Francoso Dal Piccol Sotto and Franz Rothlauf. On the role of non-effective code in linear genetic programming. 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 1075-1083, Prague, Czech Republic, 2019. ACM. details

  22. 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

  23. Franz Rothlauf. Representations for evolutionary algorithms. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz 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 Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 726-746, Prague, Czech Republic, 2019. ACM. Tutorial. details

  24. Franz Rothlauf. Representations for Evolutionary Algorithms. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 413-434, Denver, Colorado, USA, 2016. ACM. tutorial. details

  25. Ann Thorhauer and Franz Rothlauf. On the Bias of Syntactic Geometric Recombination in Genetic Programming and Grammatical Evolution. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1103-1110, Madrid, Spain, 2015. ACM. details

  26. Franz Rothlauf. Representations for Evolutionary Algorithms. In Anabela Simoes editor, GECCO 2015 Introductory Tutorials, pages 345-366, Madrid, Spain, 2015. ACM. details

  27. Ann Thorhauer and Franz Rothlauf. On the Locality of Standard Search Operators in Grammatical Evolution. In Thomas Bartz-Beielstein and Juergen Branke and Bogdan Filipic and Jim Smith editors, 13th International Conference on Parallel Problem Solving from Nature, volume 8672, pages 465-475, Ljubljana, Slovenia, 2014. Springer. details

  28. Franz Rothlauf. Representations for evolutionary algorithms. In Mengjie Zhang editor, GECCO 2014 Introductory tutorials, pages 323-344, Vancouver, BC, Canada, 2014. ACM. details

  29. Ann Thorhauer and Franz Rothlauf. Structural difficulty in grammatical evolution versus genetic programming. In Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 997-1004, Amsterdam, The Netherlands, 2013. ACM. details

  30. Franz Rothlauf. Representations for evolutionary algorithms. In Christian Blum editor, GECCO 2011 Late breaking abstracts, pages 1191-1212, Dublin, Ireland, 2011. ACM. details

  31. Franz Rothlauf and Marie Oetzel. On the Locality of Grammatical Evolution. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 320-330, Budapest, Hungary, 2006. Springer. details

  32. Franz Rothlauf and David Goldberg. Tree network design with genetic algorithms - An investigation in the locality of the pruefernumber encoding. In Scott Brave and Annie S. Wu editors, Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference, pages 238-244, Orlando, Florida, USA, 1999. details

Genetic Programming parts of books by Franz Rothlauf

Genetic Programming book chapters by Franz Rothlauf

Genetic Programming technical reports by Franz Rothlauf

Genetic Programming other entries for Franz Rothlauf