Skip to main content

The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2610))

Abstract

A study on the effect of variable size populations in genetic programming is presented in this work.We apply the idea of plague (high desease of individuals).We show that although plagues are generally considered as negative events, they can help populations to save computing time and at the same time surviving individuals can reach high peaks in the fitness landscape.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. D. E. Goldberg. Sizing Populations for serial and parallel genetic algorithms. In Schaffer, J. D. (Ed.), Proceedings of the Third International Conference on Genetic Algorithms, pages 70–79. San Mateo, CA: Morgan Kaufmann, 1989.

    Google Scholar 

  2. E. Burke, S. Gustafson, G. Kendall, and N. Krasnogor. Advanced population diversity measures in genetic programming. In J. J. Merelo, P. Adamidis, H. G. Beyer, J.-L. Fernández-Villacanas, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature-PPSN VII, volume 2439 of Lecture Notes in Computer Science, pages 341–350. Springer-Verlag, Heidelberg, 2002. au]3._C. Gathercole and P. Ross. Small populations over many generations can beat large populations over few generations in genetic programming. In J. Koza, K. Deb, M. Dorigo, D. B. Fogel, M. Garzon, H. Iba, and R. L. Riolo, editors, Genetic Programming, Proceedings of the Second Annual Conference, pages 111–118, Morgan Kaufmann, San Francisco, CA, USA, 1997.

    Google Scholar 

  3. M. Fuchs. Large populations are not always the best choice in genetic programming. In W. Banzhaf, J. Daida, A. E. Eiben, M. Garzon, V. Honavar, M. Jakiela, and R. Smith, editors, Proceedings of the genetic and evolutionary computation conference GECCO’99, pages 1033–1038, Morgan Kaufmann, San Francisco, CA, 1999.

    Google Scholar 

  4. Tan, K.C., Lee, T.H., and E. F. Khor. Evolutionary Algorithms With Dynamic Population Size and Local Exploration for Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, Vol. 5, Num. 6, pages 565–588, 2001.

    Article  Google Scholar 

  5. W. B. Langdon and R. Poli. Foundations of Genetic Programming. Springer-Verlag, Heidelberg, 2001.

    Google Scholar 

  6. F. Fernandez, M. Tomassini and L. Vanneschi. An Empirical Study of Multipopulation Genetic Programming, in Genetic Programming and Evolvable Machines, Kluwer Academic Publishers. To appear, 2002.

    Google Scholar 

  7. J. R. Koza. Genetic Programming. On the Programming of Computers by Means of Natural Selection, The MIT Press, Cambridge, MA, 1992.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fernandez, F., Vanneschi, L., Tomassini, M. (2003). The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations. In: Ryan, C., Soule, T., Keijzer, M., Tsang, E., Poli, R., Costa, E. (eds) Genetic Programming. EuroGP 2003. Lecture Notes in Computer Science, vol 2610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36599-0_29

Download citation

  • DOI: https://doi.org/10.1007/3-540-36599-0_29

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00971-9

  • Online ISBN: 978-3-540-36599-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics