Genetic Programming Bibliography entries for Edward R Pantridge

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GP coauthors/coeditors: Li Ding, Lee Spector, Thomas Helmuth, Nicholas Freitag McPhee, Grace Woolson, James Gunder Frazier, William La Cava, Saul Shanabrook, Kai Staats, Marco Cavaglia, Iurii Milovanov, Arun Aniyan,

Genetic Programming Articles by Edward R Pantridge

Genetic Programming conference papers by Edward R Pantridge

  1. Thomas Helmuth and Edward Pantridge and James Gunder Frazier and Lee Spector. Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 21-37, Aberystwyth, 2024. Springer. details

  2. Edward Pantridge and Thomas Helmuth. Solving Novel Program Synthesis Problems with Genetic Programming Using Parametric Polymorphism. 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 1175-1183, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  3. Li Ding and Edward Pantridge and Lee Spector. Probabilistic Lexicase Selection. 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 1073-1081, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. Edward Pantridge and Thomas Helmuth and Lee Spector. Functional Code Building 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 1000-1008, Boston, USA, 2022. Association for Computing Machinery. details

  5. Edward Pantridge and Lee Spector. Code Building 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 994-1002, internet, 2020. Association for Computing Machinery. details

  6. Thomas Helmuth and Edward Pantridge and Grace Woolson and Lee Spector. Transfer Learning of Genetic Programming Instruction Sets. 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 241-242, internet, 2020. Association for Computing Machinery. details

  7. Thomas Helmuth and Lee Spector and Edward Pantridge. Counterexample-Driven Genetic Programming without Formal Specifications. 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 239-240, internet, 2020. Association for Computing Machinery. details

  8. Thomas Helmuth and Edward Pantridge and Grace Woolson and Lee Spector. Genetic Source Sensitivity and Transfer Learning in Genetic Programming. In Josh Bongard and Juniper Lovato and Laurent Hebert-Dufresne and Radhakrishna Dasari and Lisa Soros editors, 2020 Conference on Artificial Life, pages 303-311, online, 2020. Massachusetts Institute of Technology. details

  9. Edward Pantridge and Thomas Helmuth and Lee Spector. Comparison of Linear Genome Representations For Software Synthesis. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 255-274, East Lansing, MI, USA, 2019. Springer. details

  10. Thomas Helmuth and Edward Pantridge and Lee Spector. Lexicase Selection of Specialists. 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 1030-1038, Prague, Czech Republic, 2019. ACM. details

  11. Kai Staats and Edward Pantridge and Marco Cavaglia and Iurii Milovanov and Arun Aniyan. TensorFlow Enabled Genetic Programming. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1872-1879, Berlin, Germany, 2017. ACM. details

  12. Lee Spector and William La Cava and Saul Shanabrook and Thomas Helmuth and Edward Pantridge. Relaxations of Lexicase Parent Selection. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 105-120, University of Michigan in Ann Arbor, USA, 2017. Springer. details

  13. Edward Pantridge and Thomas Helmuth and Nicholas Freitag McPhee and Lee Spector. On the Difficulty of Benchmarking Inductive Program Synthesis Methods. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1589-1596, Berlin, Germany, 2017. ACM. details

  14. Edward Pantridge and Lee Spector. PyshGP: PushGP in Python. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1255-1262, Berlin, Germany, 2017. ACM. details

  15. Thomas Helmuth and Nicholas Freitag McPhee and Edward Pantridge and Lee Spector. Improving Generalization of Evolved Programs Through Automatic Simplification. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 937-944, Berlin, Germany, 2017. ACM. details

  16. Edward R. Pantridge and Lee Spector. Evolution of Layer Based Neural Networks: Preliminary Report. 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 1015-1022, Denver, Colorado, USA, 2016. ACM. details