Genetic Programming Bibliography entries for Charles Ofria

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GP coauthors/coeditors: Clifford Bohm, Alexander Lalejini, Jorden Schossau, Sarah Albani, Acacia Ackles, Ryan Boldi, Martin Briesch, Dominik Sobania, Thomas Helmuth, Franz Rothlauf, Lee Spector, David M Bryson, Emily Dolson, Wolfgang Banzhaf, Austin J Ferguson, Jose Guadalupe Hernandez, Daniel Junghans, Stephan M Winkler, Leonardo Trujillo, Ting Hu, Matthew Andres Moreno, Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Julie Beaulieu, Peter J Bentley, Samuel Bernard, Guillaume Beslon, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stephane Doncieux, Fred C Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frenoy, Christian Gagne, Leni K Le Goff, Laura M Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E Moriarty, Jean-Baptiste Mouret, Anh Quang Nguyen, Marc Parizeau, David P Parsons, Robert T Pennock, William F Punch, Thomas S Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O Stanley, Francois Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A Watson, Jason Yosinksi, Lee Altenberg, David Parsons, Jason Yosinski, Santiago Rodriguez Papa, Travis C Collier, Claus O Wilke,

Genetic Programming Articles by Charles Ofria

  1. Matthew Andres Moreno and Alexander Lalejini and Charles Ofria. Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity. Genetic Programming and Evolvable Machines, 24:Article number: 4, 2023. Online first. details

  2. Clifford Bohm and Sarah Albani and Charles Ofria and Acacia Ackles. Using the Comparative Hybrid Approach to Disentangle the Role of Substrate Choice on the Evolution of Cognition. Artificial Life, 28(4):423-439, 2022. details

  3. Alexander Lalejini and Matthew Andres Moreno and Charles Ofria. Tag-based regulation of modules in genetic programming improves context-dependent problem solving. Genetic Programming and Evolvable Machines, 22(3):325-355, 2021. details

  4. Joel Lehman and Jeff Clune and Dusan Misevic and Christoph Adami and Lee Altenberg and Julie Beaulieu and Peter J. Bentley and Samuel Bernard and Guillaume Beslon and David M. Bryson and Nick Cheney and Patryk Chrabaszcz and Antoine Cully and Stephane Doncieux and Fred C. Dyer and Kai Olav Ellefsen and Robert Feldt and Stephan Fischer and Stephanie Forrest and Antoine Frenoy and Christian Gagne and Leni Le Goff and Laura M. Grabowski and Babak Hodjat and Frank Hutter and Laurent Keller and Carole Knibbe and Peter Krcah and Richard E. Lenski and Hod Lipson and Robert MacCurdy and Carlos Maestre and Risto Miikkulainen and Sara Mitri and David E. Moriarty and Jean-Baptiste Mouret and Anh Nguyen and Charles Ofria and Marc Parizeau and David Parsons and Robert T. Pennock and William F. Punch and Thomas S. Ray and Marc Schoenauer and Eric Schulte and Karl Sims and Kenneth O. Stanley and Francois Taddei and Danesh Tarapore and Simon Thibault and Richard Watson and Westley Weimer and Jason Yosinski. The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artificial Life, 26(2):274-306, 2020. details

  5. Charles Ofria and Claus O. Wilke. Avida: A Software Platform for Research in Computational Evolutionary Biology. Artificial Life, 10(2):191-229, 2004. details

  6. Charles Ofria and Christoph Adami and Travis C. Collier. Design of evolvable computer languages. IEEE Transactions on Evolutionary Computation, 6(4):420-424, 2002. details

  7. Ryan Boldi and Martin Briesch and Dominik Sobania and Alexander Lalejini and Thomas Helmuth and Franz Rothlauf and Charles Ofria and Lee Spector. Informed Down-Sampled Lexicase Selection: Identifying Productive Training Cases for Efficient Problem Solving. Evolutionary Computation. Online Early. details

Genetic Programming Conference proceedings edited by Charles Ofria

Genetic Programming conference papers by Charles Ofria

  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. Charles Ofria. Using lineage age to augment search space exploration in lexicase selection. In Wolfgang Banzhaf and Ting Hu and Alexander Lalejini and Stephan Winkler editors, Genetic Programming Theory and Practice XXI, University of Michigan, USA, 2024. details

  3. Matthew Andres Moreno and Alexander Lalejini and Charles Ofria. Tag Affinity Criteria Influence Adaptive Evolution. In Alberto Moraglio editor, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 35-36, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. Alexander Lalejini and Matthew Moreno and Charles Ofria. Tag-based Module Regulation for Genetic Programming. In Marcus Gallagher editor, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 25-26, Boston, USA, 2022. Association for Computing Machinery. details

  5. Jose Guadalupe Hernandez and Alex Lalejini and Charles Ofria. An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 83-107, East Lansing, USA, 2021. Springer. details

  6. Austin J. Ferguson and Jose Guadalupe Hernandez and Daniel Junghans and Alexander Lalejini and Emily Dolson and Charles Ofria. Characterizing the effects of random subsampling and dilution on Lexicase selection. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 1-23, East Lansing, MI, USA, 2019. Springer. details

  7. Alexander Lalejini and Charles Ofria. Tag-accessed memory for genetic programming. 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 346-347, Prague, Czech Republic, 2019. ACM. details

  8. Jose Guadalupe Hernandez and Alexander Lalejini and Emily Dolson and Charles Ofria. Random subsampling improves performance in lexicase selection. 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 2028-2031, Prague, Czech Republic, 2019. ACM. details

  9. Clifford Bohm and Alexander Lalejini and Jory Schossau and Charles Ofria. MABE 2.0: an introduction to MABE and a road map for the future of MABE development. 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 1349-1356, Prague, Czech Republic, 2019. ACM. details

  10. Alexander Lalejini and Charles Ofria. What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 103-121, Ann Arbor, USA, 2018. Springer. details

  11. Emily Dolson and Alexander Lalejini and Charles Ofria. Exploring Genetic Programming Systems with MAP-Elites. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 1-16, Ann Arbor, USA, 2018. Springer. details

  12. Alexander Lalejini and Charles Ofria. Evolving event-driven programs with SignalGP. 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 1135-1142, Kyoto, Japan, 2018. ACM. details

  13. Alexander Lalejini and Charles Ofria. Evolving Reactive Agents with SignalGP. In Takashi Ikegami and Nathaniel Virgo and Olaf Witkowski and Mizuki Oka and Reiji Suzuki and Hiroyuki Iizuka editors, ALIFE 2018: The 2018 Conference on Artificial Life, pages 5368-369, Tokyo, Japan, 2018. The MIT Press. details

  14. Emily Dolson and Wolfgang Banzhaf and Charles Ofria. Applying Ecological Principles to Genetic Programming. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 73-88, University of Michigan in Ann Arbor, USA, 2017. Springer. details

  15. David M. Bryson and Charles Ofria. Digital Evolution Exhibits Surprising Robustness to Poor Design Decisions. In ALIFE 2012: The Thirteenth International Conference on the Synthesis and Simulation of Living Systems, pages 19-26, East Lansing, Michigan, USA, 2012. MIT. details

  16. Charles Ofria. Robustness and evolvability of programming languages. In Paul Marrow and Mark Shackleton and Jose-Luis Fernandez-Villacanas and Tom Ray editors, Evolvability, page 42, Orlando, Florida, USA, 1999. details

Genetic Programming other entries for Charles Ofria