Skip to main content

Experiments on Islands

  • Conference paper
Book cover Genetic Programming (EuroGP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6621))

Included in the following conference series:

Abstract

The use of segmented populations (Islands) has proven to be advantageous for Genetic Programming (GP). This paper discusses the application of segmentation and migration strategies to a system for Linear Genetic Programming (LGP). Besides revisiting migration topologies, a modification for migration strategies is proposed — migration delay. It is found that highly connected topologies yield better results than those with segments coupled more loosely, and that migration delays can further improve the effect of migration.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tomassini, M., Vanneschi, L., Fernandez, F., Galeano, G.: A Study of Diversity in Multipopulation Genetic Programming. In: Liardet, P., Collet, P., Fonlupt, C., Lutton, E., Schoenauer, M. (eds.) EA 2003. LNCS, vol. 2936, pp. 243–255. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Fernandez, F., Tomassini, M., Vanneschi, L.: Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming. In: Miller, J., Tomassini, M., Lanzi, P.L., Ryan, C., Tetamanzi, A.G.B., Langdon, W.B. (eds.) EuroGP 2001. LNCS, vol. 2038, pp. 51–63. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  3. Silva, S., Tseng, Y.-T.: Classification of Seafloor Habitats Using Genetic Programming. In: Giacobini, M., Brabazon, A., Cagnoni, S., Di Caro, G.A., Drechsler, R., Ekárt, A., Esparcia-Alcázar, A.I., Farooq, M., Fink, A., McCormack, J., O’Neill, M., Romero, J., Rothlauf, F., Squillero, G., Uyar, A.Ş., Yang, S. (eds.) EvoWorkshops 2008. LNCS, vol. 4974, pp. 315–324. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  4. Cantú-Paz, E.: Topologies, Migration Rates, and Multi-Population Parallel Genetic Algorithms. In: Proceedings of the Genetic and Evolutionary Computation Conference, July 13-17, vol. 1, pp. 91–98. Morgan Kaufmann, San Francisco (1999)

    Google Scholar 

  5. Koza, J.R.: A Genetic Approach to the Truck Backer Upper Problem and the Inter-Twined Spiral Problem. In: Proceedings of IJCNN International Joint Conference on Neural Networks, vol. IV, pp. 310–318. IEEE Press, Los Alamitos (1992)

    Chapter  Google Scholar 

  6. Eklund, S.E.: A Massively Parallel GP Engine in VLSI. In: Proceedings of the 2002 Congress on Evolutionary Computation CEC 2002, May 12-17, pp. 629–633. IEEE Press, Los Alamitos (2002)

    Google Scholar 

  7. Brameier, M., Banzhaf, W.: A Comparison of Linear Genetic Programming and Neural Networks in Medical Data Mining. IEEE Transactions on Evolutionary Computation 5(1), 17–26 (2001)

    Article  MATH  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Harwerth, M. (2011). Experiments on Islands. In: Silva, S., Foster, J.A., Nicolau, M., Machado, P., Giacobini, M. (eds) Genetic Programming. EuroGP 2011. Lecture Notes in Computer Science, vol 6621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20407-4_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20407-4_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20406-7

  • Online ISBN: 978-3-642-20407-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics