Skip to main content

Advertisement

Log in

Genetic programming theory and practice: a fifteen-year trajectory

  • Published:
Genetic Programming and Evolvable Machines Aims and scope Submit manuscript

Abstract

The GPTP workshop series, which began in 2003, has served over the years as a focal meeting for genetic programming (GP) researchers. As such, we think it provides an excellent source for studying the development of GP over the past fifteen years. We thus present herein a trajectory of the thematic developments in the field of GP.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

W. B. Langdon

References

  1. W. Banzhaf, R.S. Olson, W. Tozier, R. Riolo (eds.), Genetic Programming Theory and Practice XV (Springer International Publishing, Cham, 2018)

    Google Scholar 

  2. K. Kannappan, L. Spector, M. Sipper, T. Helmuth, W. La Cava, J. Wisdom, O. Bernstein, Analyzing a decade of human-competitive (“HUMIE”) winners: What can we learn?, in Genetic Programming Theory and Practice XII, ed. by R. Riolo, W.P. Worzel, M. Kotanchek (Springer International Publishing, Cham, 2015), pp. 149–166

    Chapter  Google Scholar 

  3. J. Lehman, K.O. Stanley, Exploiting open-endedness to solve problems through the search for novelty. in Proceedings of the Eleventh International Conference on Artificial Life (ALIFE) (MIT Press, Cambridge, 2008)

  4. T. McConaghy, E. Vladislavleva, R. Riolo, Genetic programming theory and practice 2010: an introduction, in Genetic Programming Theory and Practice VIII, ed. by R. Riolo, T. McConaghy, E. Vladislavleva (Springer, Ann Arbor, 2011). (pp. xvii–xxviii)

    MATH  Google Scholar 

  5. U.M. O’Reilly, T. McConaghy, R. Riolo, GPTP 2009: An example of evolvability, in Genetic Programming Theory and Practice VII, ed. by R.L. Riolo, U.M. O’Reilly, T. McConaghy (Springer, Ann Arbor, 2010), pp. 1–18. (chap. 1)

    MATH  Google Scholar 

  6. U.M. O’Reilly, T. Yu, R. Riolo, B. Worzel, Genetic programming: theory and practice: an introduction to volume II, in Genetic Programming Theory and Practice II, ed. by U.M. O’Reilly, T. Yu, R. Riolo, B. Worzel (Springer, Ann Arbor, 2004), pp. 1–10. (chap. 1)

    Google Scholar 

  7. M. Orlov, M. Sipper, FINCH: a system for evolving Java (Bytecode), in Genetic Programming Theory and Practice VIII, ed. by R. Riolo, T. McConaghy, E. Vladislavleva (Springer, Ann Arbor, 2010)

    Google Scholar 

  8. R. Riolo, J.H. Moore, M. Kotanchek (eds.), Genetic Programming Theory and Practice XI (Springer, New York, 2014)

    Google Scholar 

  9. R. Riolo, E. Vladislavleva, M.D. Ritchie, J.H. Moore, Preface, in Genetic Programming Theory and Practice X, ed. by R. Riolo, E. Vladislavleva, M.D. Ritchie, J.H. Moore (Springer, New York, 2013). (pp. xiii–xx)

    Chapter  Google Scholar 

  10. R. Riolo, B. Worzel, B. Goldman, W. Tozier (eds.), Genetic Programming Theory and Practice XIV (Springer International Publishing, Cham, 2018)

    Google Scholar 

  11. R. Riolo, B. Worzel, M. Kotanchek, A. Kordon (eds.), Genetic Programming Theory and Practice XIII (Springer International Publishing, Cham, 2016)

    MATH  Google Scholar 

  12. R. Riolo, W.P. Worzel, M. Kotanchek (eds.), Genetic Programming Theory and Practice XII (Springer, New York, 2015a)

    Google Scholar 

  13. R. Riolo, W.P. Worzel, M. Kotanchek, Preface, in Genetic Programming Theory and Practice XII, ed. by R. Riolo, W.P. Worzel, M. Kotanchek (Springer, New York, 2015b). (pp. v–vi)

    Chapter  Google Scholar 

  14. T. Soule, R.L. Riolo, U.M. O’Reilly, Genetic programming theory and practice: an introduction to volume VI, in Genetic Programming Theory and Practice VI, ed. by T. Soule, R.L. Riolo, B. Worzel (Springer, New York, 2009), pp. 1–18. (chap. 1)

    Google Scholar 

  15. T. Soule, R.L. Riolo, B. Worzel, Genetic programming theory and practice: an introduction to volume IV, in Genetic Programming Theory and Practice IV, ed. by R. Riolo, T. Soule, B. Worzel (Springer, New York, 2007), pp. 1–10. (chap. 1)

    MATH  Google Scholar 

  16. T. Soule, R.L. Riolo, B. Worzel, Genetic programming theory and practice: an introduction to volume V, in Genetic Programming Theory and Practice V, ed. by R.L. Riolo, T. Soule, B. Worzel (Springer, New York, 2010), pp. 1–12. (chap. 1)

    Google Scholar 

  17. W. Tozier, B. Goldman, R. Riolo, B. Worzel, Preface, in Genetic Programming Theory and Practice XIV, ed. by R. Riolo, B. Worzel, B. Goldman, W. Tozier (Springer International Publishing, Cham, 2018). (pp. vii–ix)

    Google Scholar 

  18. E. Vladislavleva, J.H. Moore, R. Riolo, Genetic programming theory and practice 2011: an introduction, in Genetic Programming Theory and Practice IX, ed. by R. Riolo, E. Vladislavleva, J.H. Moore (Springer, New York, 2011). (pp. xv–xxvii)

    MATH  Google Scholar 

  19. B. Worzel, R. Riolo, Genetic programming: theory and practice, in Genetic Programming Theory and Practice, ed. by R. Riolo, B. Worzel (Kluwer, New York, 2003), pp. 1–10. (chap. 1)

    MATH  Google Scholar 

  20. T. Yu, R. Riolo, B. Worzel, Genetic programming: theory and practice: an introduction to volume III, in Genetic Programming Theory and Practice III, ed. by T. Yu, R. Riolo, B. Worzel (Springer, New York, 2005), pp. 1–14. (chap. 1)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Moshe Sipper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This work was supported by National Institutes of Health Grants AI116794, DK112217, ES013508, HL134015, LM010098, LM011360, LM012601, and TR001263.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sipper, M., Moore, J.H. Genetic programming theory and practice: a fifteen-year trajectory. Genet Program Evolvable Mach 21, 169–179 (2020). https://doi.org/10.1007/s10710-019-09353-5

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10710-019-09353-5

Keywords

Navigation