Genetic Programming Bibliography entries for Matthew P Evett

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GP coauthors/coeditors: Thomas Fernandez, Taghi Khoshgoftar, Pei-der Chien, Edward B Allen, Taghi M Khoshgoftaar, Natham Foreman,

Genetic Programming conference papers by Matthew P Evett

  1. Nate Foreman and Matthew Evett. Preventing overfitting in GP with canary functions. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1779-1780, Washington DC, USA, 2005. ACM Press. details

  2. Matthew Evett and Taghi Khoshgoftaar and Pei-der Chien and Edward Allen. Modelling software quality with GP. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, page 1232, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  3. Matthew Evett and Taghi Khoshgoftaar and Pei-der Chien and Ed Allen. Using genetic programming to determine software quality. In Proceedings of the Twelfth International FLAIRS Conference, pages 113-117, 1999. AAAI. details

  4. Thomas Fernandez and Matthew Evett. Numeric Mutation as an Improvement to Symbolic Regression in Genetic Programming. In V. William Porto and N. Saravanan and D. Waagen and A. E. Eiben editors, Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming, volume 1447, pages 251-260, Mission Valley Marriott, San Diego, California, USA, 1998. Springer-Verlag. details

  5. Matthew Evett and Thomas Fernandez. Numeric Mutation Improves the Discovery of Numeric Constants 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 66-71, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  6. Matthew Evett and Taghi Khoshgoftar and Pei-der Chien and Edward Allen. GP-based software quality prediction. 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 60-65, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  7. Matthew Evett and Thomas Fernandez. Numeric Mutation: Improved Search in Genetic Programming. In Proceedings of the Eleventh International FLAIRS Conference, pages 106-109, 1998. AAAI. details

  8. Thomas Fernandez and Matthew Evett. Training Period Size and Evolved Trading Systems. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, page 95, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  9. Matthew Evett and Thomas Fernandez. A Distributed System for Genetic Programming that Dynamically Allocates Processors. In Shlomo Zilberstein and Louis Hoebel editors, Papers from the AAAI Workshop on Building Resource-Bounded Reasoning Systems, pages 43-48, 1997. Published in AAAI Technical Report WS-97-06. details

Genetic Programming book chapters by Matthew P Evett

Genetic Programming technical reports by Matthew P Evett