Genetic Programming Bibliography entries for Peter A N Bosman

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GP coauthors/coeditors: Dirk V Arnold, Mengjie Zhang, Ryan J Urbanowicz, Muhammad Iqbal, Kamran Shafi, Forrest Stonedahl, William Michael Rand, Tea Tusar, Boris Naujoks, David Walker, Richard Everson, Jonathan E Fieldsend, Stefan Wagner, Michael Affenzeller, Zhun Fan, Yaochu Jin, Hod Lipson, Erik Goodman, Alexandru-Adrian Tantar, Emilia Tantar, Kent McClymont, Kevin Sim, Gabriela Ochoa, Ed Keedwell, Anna Esparcia-Alcazar, Frank William Moore, Jaume Bacardit, Ignacio Arnaldo Lucas, Kalyan Veeramachaneni, Una-May O'Reilly, Stephen L Smith, Stefano Cagnoni, Robert M Patton, Steven M Gustafson, Ekaterina (Katya) Vladislavleva, John R Woodward, Jerry Swan, Earl Barr, Krzysztof Krawiec, Chris Simons, John A Clark, Dirk Sudholt, Aniko Ekart, Carola Doerr, Anne Auger, Christian Blum, Enrique Alba, Thomas Bartz-Beielstein, Daniele Loiacono, Francisco Luna Valero, Jorn Mehnen, Mike Preuss, Leonardo Vanneschi, Emma Hart, Bernd Bischl, Dimo Brockhoff, Nikolaus Hansen, Olaf Mersmann, Petr Posik, Heike Trautmann, Gisele L Pappa, Miguel Vega-Rodriguez, Jose M Chaves-Gonzalez, David L Gonzalez-Alvarez, Sergio Santander-Jimenez, Lee Spector, Maarten Keijzer, Kenneth L Holladay, Edwin D de Jong, Joe Harrison, Tanja Alderliesten, Marco Virgolin, Mike Cattolico, Vladan Babovic, Martin V Butz, Carlos Artemio Coello Coello, Dipankar Dasgupta, Sevan G Ficici, James A Foster, Arturo Hernandez-Aguirre, Gregory S Hornby, Phil McMinn, Jason H Moore, Gunther R Raidl, Franz Rothlauf, Conor Ryan, Dirk Thierens, Johannes Koch, Dazhuang Liu, Eric Medvet, Mauro Castelli, Ivo Goncalves, Markus Wagner, Daniel R Tauritz, Manuel Lopez-Ibanez, Maxim Buzdalov, Dejan Tusar, Tobias Wagner, Erik Hemberg, Nicole Hoffman, Stephane Doncieux, Joshua E Auerbach, Richard Duro, Harold de Vladar, Jose Santos Reyes, Julia Handl, Amarda Shehu, Vanessa Volz, Samadhi Nallaperuma, Frank Moore, Gunes Kayacik, Westley Weimer, Justyna Petke, David Robert White, Silvino Fernandez Alzueta Arcelor, Pablo Valledor, Thomas Stuetzle, Kuber Karthik, Masaya Nakata, Shafi Kamran, Giovanni Squillero, Alberto Tonda, John A W McCall, Christine Zarges, Nur Zincir-Heywood, Alma Rahat, Handing Wang, Rolf Drechsler, 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, Michael O'Neill, Massimiliano Di Penta, Benjamin Doerr, Thomas Jansen, Riccardo Poli, Nikhil Padhye, Aaron Baughman, Stefan Van Der Stock, Michael Perlitz, Jonathan Jesneck, Matthew R Hyde, Alexandre Chotard, Verena Heidrich-Meisner, Rick L Riolo, Jean-Baptiste Mouret, Albert Orriols-Puig, Francisco Fernandez de Vega, Sherri Goings, Alison A Motsinger, Katya Rodriguez-Vazquez, Thalea Schlender, Mafalda Malafaia, Evi Sijben, J C Jansen, Jeroen Jansen, Thomas Uriot, Cees Witteveen, Arjan Bel, Ziyuan Wang, B V Balgobind, I W E M van Dijk, Jan Wiersma, P S Kroon, Geert O Janssens, M van Herk, David C Hodgson, Lorna Zadravec Zaletel, C R N Rasch,

Genetic Programming Articles by Peter A N Bosman

  1. M. Virgolin and T. Alderliesten and C. Witteveen and P. A. N. Bosman. Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions. Evolutionary Computation, 29(2):211-237, 2021. details

  2. M Virgolin and Ziyuan Wang and B V Balgobind and I W E M van Dijk and J Wiersma and P S Kroon and G O Janssens and M van Herk and D C Hodgson and L Zadravec Zaletel and C R N Rasch and A Bel and P A N Bosman and T Alderliesten. Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy. Physics in Medicine \& Biology, 65(24):245021, 2020. details

  3. Marco Virgolin and Ziyuan Wang and Tanja Alderliesten and Peter A. N. Bosman. Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstruction. Journal of Medical Imaging, 7(4):046501, 2020. Winner Silver HUMIES. details

  4. Marco Virgolin and Tanja Alderliesten and Peter A. N. Bosman. On explaining machine learning models by evolving crucial and compact features. Swarm and Evolutionary Computation, 53:100640, 2020. details

  5. Eric Medvet and Marco Virgolin and Mauro Castelli and Peter A. N. Bosman and Ivo Goncalves and Tea Tusar. Unveiling evolutionary algorithm representation with DU maps. Genetic Programming and Evolvable Machines, 19(3):351-389, 2018. Special issue on genetic programming, evolutionary computation and visualization. details

Genetic Programming Conference proceedings edited by Peter A N Bosman

  1. Gisele Pappa and Markus Wagner and John R. Woodward and Daniel R. Tauritz and Manuel Lopez-Ibanez and Maxim Buzdalov and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Dejan Tusar and Tobias Wagner and Una-May O'Reilly and Erik Hemberg and Nicole Hoffman and Stephane Doncieux and Joshua Auerbach and Richard Duro and Harold de Vladar and Jose Santos and Julia Handl and Amarda Shehu and Stefan Wagner and Michael Affenzeller and Vanessa Volz and Samadhi Nallaperuma and Frank Moore and Gunes Kayacik and Westley Weimer and Justyna Petke and David R. White and Silvino Fernandez Alzueta Arcelor and Pablo Valledor and Thomas Stuetzle and Kuber Karthik and Masaya Nakata and Shafi Kamran and Giovanni Squillero and Alberto Tonda and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Peter A. N. Bosman and John McCall and David Walker and Richard Everson and Jonathan Fieldsend and Carola Doerr and Julia Handl and Emma Hart and Gabriela Ochoa and Amarda Shehu and Tea Tusar and Christine Zarges and Nur Zincir-Heywood and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin editors, GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Denver, Colorado, USA, ACM, 2016. details

  2. Dirk Arnold and Mengjie Zhang and Ryan Urbanowicz and Muhammad Iqbal and Kamran Shafi and Forrest Stonedahl and William Rand and Tea Tusar and Boris Naujoks and David Walker and Richard Everson and Jonathan Fieldsend and Stefan Wagner and Michael Affenzeller and Zhun Fan and Yaochu Jin and Hod Lipson and Erik Goodman and Alexandru-Adrian Tantar and Emilia Tantar and Peter A. N. Bosman and Kent McClymont and Kevin Sim and Gabriela Ochoa and Ed Keedwell and Anna I Esparcia-Alcazar and Frank W. Moore and Jaume Bacardit and Ignacio Arnaldo and Kalyan Veeramachaneni and Una-May O'Reilly and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Steven Gustafson and Ekaterina Vladislavleva and John Woodward and Jerry Swan and Earl Barr and Krzysztof Krawiec and Chris Simons and John Clark and Dirk Sudholt and Anna Esparcia and Aniko Ekart and Carola Doerr and Anne Auger editors, GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. Vancouver, BC, Canada, 2014. details

  3. Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion. Amsterdam, The Netherlands, 2013. details

  4. Bill Rand and Alexandru-Adrian Tantar and Emilia Tantar and Peter A. N. Bosman and Nikhil Padhye and Aaron Baughman and Stefan Van Der Stock and Michael Perlitz and Steven M. Gustafson and Jonathan Jesneck and Gisele L. Pappa and John Woodward and Matthew R. Hyde and Jerry Swan and Stefan Wagner and Michael Affenzeller and Anne Auger and Alexandre Chotard and Nikolaus Hansen and Verena Heidrich-Meisner and Olaf Mersmann and Petr Posik and Mike Preuss and Forrest Stonedahl and Rick Riolo and Stephane Doncieux and Yaochu Jin and Jean-Baptiste Mouret and Daniele Loiacono and Albert Orriols-Puig and Ryan Urbanowicz and Kent McClymont and Ed Keedwell and Richard Everson and Jonathan Fieldsend and David Walker and F. Fernandez de Vega and Carlos Cotta and Steven Gustafson and Ekaterina Vladislavleva and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Sherri Goings and Alison Motsinger-Reif and Katya Rodriguez and Christian Blum and Gabriela Ochoa and Jason H. Moore editors, GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion. Philadelphia, Pennsylvania, USA, 2012. details

  5. Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th annual conference on Genetic and evolutionary computation. Montreal, ACM, 2009. details

  6. Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation. Seattle, Washington, USA, ACM Press, 2006. details

Genetic Programming conference papers by Peter A N Bosman

  1. Evi Sijben and Jeroen Jansen and Peter Bosman and Tanja Alderliesten. Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. In Ruhul Sarker and Patrick Siarry 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 1354-1362, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Thalea Schlender and Mafalda Malafaia and Tanja Alderliesten and Peter Bosman. Improving the efficiency of GP-GOMEA for higher-arity operators. 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 971-979, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Johannes Koch and Tanja Alderliesten and Peter Bosman. Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  4. Joe Harrison and Marco Virgolin and Tanja Alderliesten and Peter Bosman. Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?. 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 1127-1136, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  5. Thomas Uriot and Marco Virgolin and Tanja Alderliesten and Peter Bosman. On genetic programming representations and fitness functions for interpretable dimensionality reduction. 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 458-466, Boston, USA, 2022. Association for Computing Machinery. details

  6. Evi Sijben and Tanja Alderliesten and Peter Bosman. Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. 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 440-448, Boston, USA, 2022. Association for Computing Machinery. details

  7. Dazhuang Liu and Marco Virgolin and Tanja Alderliesten and Peter Bosman. Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression. 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 973-981, Boston, USA, 2022. Association for Computing Machinery. Best Paper GP Track. details

  8. Joe Harrison and Tanja Alderliesten and Peter A. N. Bosman. Gene-pool Optimal Mixing 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 19-32, Dortmund, Germany, 2022. Springer. details

  9. Marco Virgolin and Ziyuan Wang and Tanja Alderliesten and Peter A. N. Bosman. Machine learning for automatic construction of pediatric abdominal phantoms for radiation dose reconstruction. In P-H. Chen and T. M. Deserno editors, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, volume 11318, 2020. details

  10. Dirk Thierens and Peter A. N. Bosman. Model-Based Evolutionary Algorithms: GECCO 2020 Tutorial. 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 590-619, internet, 2020. Association for Computing Machinery. Tutorial. details

  11. Marco Virgolin and Tanja Alderliesten and Peter A. N. Bosman. Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression. 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 1084-1092, Prague, Czech Republic, 2019. ACM. details

  12. Dirk Thierens and Peter A. N. Bosman. Model-based 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 806-836, Prague, Czech Republic, 2019. ACM. details

  13. Marco Virgolin and Tanja Alderliesten and Arjan Bel and Cees Witteveen and Peter A. N. Bosman. Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors. In Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1395-1402, Kyoto, Japan, 2018. ACM. details

  14. Marco Virgolin and Tanja Alderliesten and Cees Witteveen and Peter A. N. Bosman. Scalable Genetic Programming by Gene-pool Optimal Mixing and Input-space Entropy-based Building-block Learning. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1041-1048, Berlin, Germany, 2017. ACM. details

  15. Dirk Thierens and Peter A. N. Bosman. Model-Based 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 385-412, Denver, Colorado, USA, 2016. ACM. tutorial. details

  16. Peter A. N. Bosman and Edwin D. de Jong. Grammar Transformations in an EDA for Genetic Programming. In R. Poli and S. Cagnoni and M. Keijzer and E. Costa and F. Pereira and G. Raidl and S. C. Upton and D. Goldberg and H. Lipson and E. de Jong and J. Koza and H. Suzuki and H. Sawai and I. Parmee and M. Pelikan and K. Sastry and D. Thierens and W. Stolzmann and P. L. Lanzi and S. W. Wilson and M. O'Neill and C. Ryan and T. Yu and J. F. Miller and I. Garibay and G. Holifield and A. S. Wu and T. Riopka and M. M. Meysenburg and A. W. Wright and N. Richter and J. H. Moore and M. D. Ritchie and L. Davis and R. Roy and M. Jakiela editors, GECCO 2004 Workshop Proceedings, Seattle, Washington, USA, 2004. details

  17. Peter A. N. Bosman and Edwin D. de Jong. Learning Probabilistic Tree Grammars for Genetic Programming. In Xin Yao and Edmund Burke and Jose A. Lozano and Jim Smith and Juan J. Merelo-Guerv\'os and John A. Bullinaria and Jonathan Rowe and Peter Ti\vno Ata Kab\'an and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature - PPSN VIII, volume 3242, pages 192-201, Birmingham, UK, 2004. Springer-Verlag. details

Genetic Programming technical reports by Peter A N Bosman

Genetic Programming other entries for Peter A N Bosman

  1. E. M. C. Sijben and J. C. Jansen and Peter A. N. Bosman and Tanja Alderliesten. Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. 2024. details

  2. Dazhuang Liu and Marco Virgolin and Tanja Alderliesten and Peter A. N. Bosman. Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression. 2022. details

  3. Marco Virgolin and Eric Medvet and Tanja Alderliesten and Peter A. N. Bosman. Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning. 2022. details

  4. Thomas Uriot and Marco Virgolin and Tanja Alderliesten and Peter A. N. Bosman. On genetic programming representations and fitness functions for interpretable dimensionality reduction. 2022. details

  5. Marco Virgolin and Tanja Alderliesten and Cees Witteveen and Peter A. N. Bosman. A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions. 2019. details