Genetic Programming Bibliography entries for William F Punch

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GP coauthors/coeditors: Nathaniel Haut, Wolfgang Banzhaf, Armand R Burks, Francisco Fernandez de Vega, Marco Tomassini, Juan Manuel Sanchez Perez, Brian W Goldman, Dirk Colbry, Yuri Lavinas, Sylvain Cussat-Blanc, Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Julie Beaulieu, Peter J Bentley, Samuel Bernard, Guillaume Beslon, David M Bryson, 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, Charles Ofria, Marc Parizeau, David P Parsons, Robert T Pennock, 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, Douglas Zongker, Erik Goodman, William Michael Rand, Michael L Raymer, L A Kuhn, Alexander Topchy,

Genetic Programming Articles by William F Punch

  1. 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

  2. Armand R. Burks and William F. Punch. An analysis of the genetic marker diversity algorithm for genetic programming. Genetic Programming and Evolvable Machines, 18(2):213-245, 2017. details

  3. Brian W. Goldman and William F. Punch. Analysis of Cartesian Genetic Programming's Evolutionary Mechanisms. IEEE Transactions on Evolutionary Computation, 19(3):359-373, 2015. details

  4. William Punch. Book Review: Genetic Programming--An Introduction: On the Automatic Evolution of Computer Programs and Its Applications. Genetic Programming and Evolvable Machines, 2(2):193-195, 2001. details

  5. William Punch. Genetic Programming 1998: Proceedings of the Third Annual Conference. IEEE Transactions on Evolutionary Computation, 3(2):159-161, 1999. Book review. details

  6. Nathan Haut and Wolfgang Banzhaf and Bill Punch. Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression. IEEE Transactions on Evolutionary Computation. Early Access. details

Genetic Programming conference papers by William F Punch

  1. Yuri Lavinas and Nathaniel Haut and William Punch and Wolfgang Banzhaf and Sylvain Cussat-Blanc. Dynamically Sampling biomedical Images For Genetic Programming. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 515-518, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Yuri Lavinas and Nathan Haut and William Punch and Wolfgang Banzhaf and Sylvain Cussat-Blanc. Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  3. Yuri Lavinas and Nathaniel Haut and William Punch and Wolfgang Banzhaf and Sylvain Cussat-Blanc. Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming. 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. Nathan Haut and Bill Punch and Wolfgang Banzhaf. Active Learning Informs Symbolic Regression Model Development in Genetic Programming. 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 587-590, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  5. Nathan Haut and Wolfgang Banzhaf and Bill Punch and Dirk Colbry. Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 45-64, Michigan State University, USA, 2023. Springer. details

  6. Nathaniel Haut and Wolfgang Banzhaf and Bill Punch. Active Learning Improves Performance on Regression Tasks inStackGP. 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 550-553, Boston, USA, 2022. Association for Computing Machinery. details

  7. Nathan Haut and Wolfgang Banzhaf and Bill Punch. Correlation versus RMSE Loss Functions in Symbolic Regression Tasks. In Leonardo Trujillo and Stephan M. Winkler and Sara Silva and Wolfgang Banzhaf editors, Genetic Programming Theory and Practice XIX, pages 31-55, Ann Arbor, USA, 2022. Springer. details

  8. Armand R. Burks and William F. Punch. Genetic programming for tuberculosis screening from raw X-ray images. 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 1214-1221, Kyoto, Japan, 2018. ACM. details

  9. Armand R. Burks and William F. Punch. An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming. In Rick Riolo and Bill Worzel and Brian Goldman and Bill Tozier editors, Genetic Programming Theory and Practice XIV, pages 19-34, Ann Arbor, USA, 2016. Springer. details

  10. Armand R. Burks and William F. Punch. An Efficient Structural Diversity Technique for Genetic Programming. 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 991-998, Madrid, Spain, 2015. ACM. details

  11. Brian W. Goldman and William F. Punch. Reducing Wasted Evaluations in Cartesian Genetic Programming. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 61-72, Vienna, Austria, 2013. Springer Verlag. details

  12. Brian W. Goldman and William F. Punch. Length bias and search limitations in cartesian 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 933-940, Amsterdam, The Netherlands, 2013. ACM. details

  13. Alexander Topchy and William F. Punch. Faster Genetic Programming based on Local Gradient Search of Numeric Leaf Values. In Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 155-162, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  14. F. Fernandez and M. Tomassini and W. F. Punch III and J. M. Sanchez. Experimental Study of Multipopulation Parallel Genetic Programming. In Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'2000, volume 1802, pages 283-293, Edinburgh, 2000. Springer-Verlag. details

  15. W. F. Punch and W. M. Rand. GP+Echo+Subsumption = Improved Problem Solving. In Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 411-418, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  16. Francisco Fernandez and Marco Tomassini and William Punch and J. M. Sanchez. Experimental Study of Isolated Multipopulation Genetic Programming. In Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), page 536, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  17. William F. Punch. How Effective are Multiple Populations in Genetic Programming. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 308-313, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  18. M. L. Raymer and W. F. Punch and E. D. Goodman and L. A. Kuhn. Genetic Programming for Improved Data Mining: An Application to the Biochemistry of Protein Interactions. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 375-380, Stanford University, CA, USA, 1996. MIT Press. details

Genetic Programming book chapters by William F Punch

Genetic Programming technical reports by William F Punch

Genetic Programming other entries for William F Punch