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Generalisation in genetic programming

Published: 12 July 2011 Publication History

Abstract

Genetic programming can evolve large general solutions using a tiny fraction of possible fitness test sets. Just one test may be enough.

References

[1]
G. Beyer and W. Langdon, editors. Foundations of Genetic Algorithms, Austria, 5-9 Jan 2011. ACM.
[2]
C. Fogarty, F. Vavak, and P. Cheng. Use of the genetic algorithm for load balancing of sugar beet presses. In L. J. Eshelman, editor, ICGA pp. 617--624, 1995.
[3]
W. B. Langdon. GP and Data Structures. Kluwer, 1998.
[4]
W. B. Langdon. Was Occam wrong? Blunting Occam's razor. BNVKI newsletter, 19(3):56--57, June 2002.
[5]
W. B. Langdon. A many threaded CUDA interpreter for genetic programming. EuroGP 2010, p146--158.
[6]
W. B. Langdon and R. Poli. Foundations of Genetic Programming. Springer-Verlag, 2002.
[7]
P. Ross, D. Corne, and H.-L. Fang. Improving evolutionary timetabling with delta evaluation and directed mutation. In PPSN 94, LNCS 866, pp. 556--565.

Cited By

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  • (2015)Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming SystemGenetic Programming Theory and Practice XII10.1007/978-3-319-16030-6_10(167-179)Online publication date: 5-Jun-2015
  • (2014)Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean ProblemsIEEE Transactions on Evolutionary Computation10.1109/TEVC.2013.228153718:4(465-480)Online publication date: Aug-2014

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Published In

cover image ACM Conferences
GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
July 2011
1548 pages
ISBN:9781450306904
DOI:10.1145/2001858

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2011

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Author Tags

  1. 11-mux
  2. bloat
  3. gpgpu
  4. gpu
  5. over fitting

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Cited By

View all
  • (2015)Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming SystemGenetic Programming Theory and Practice XII10.1007/978-3-319-16030-6_10(167-179)Online publication date: 5-Jun-2015
  • (2014)Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean ProblemsIEEE Transactions on Evolutionary Computation10.1109/TEVC.2013.228153718:4(465-480)Online publication date: Aug-2014

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