Skip to main content

Evolutionary Design of Active Free Space Optical Networks Based on Digital Mirror Devices

  • Conference paper
Applications of Evolutionary Computation (EvoApplications 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7248))

Included in the following conference series:

  • 2179 Accesses

Abstract

Optical connections have several advantages compared to conventional electrical connections, especially a higher attainable bandwidth. While long distance optical connections are already established, optical board- and chip-level connections are still a subject of current research. In this paper we describe a new setup for optical board-level connections which is based on free space optics and allows the switching of signals within the optical domain. We describe the evolutionary optimization of design parameters for the proposed setup, done with a memetic evolutionary algorithm and present the optimization results.

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. Jahns, J., Huang, A.: Planar Integration of Free-Space Optical Components. Applied Optics 28, 1602–1605 (1989)

    Article  Google Scholar 

  2. Yeow, T.-W., Law, E., Goldenberg, A.: MEMS Optical Switches. IEEE Communications Magazine 39, 158–163 (2001)

    Article  Google Scholar 

  3. Limmer, S., Fey, D., Lohmann, U., Jahns, J.: Evolutionary Optimization of Layouts for High Density Free Space Optical Network Links. In: GECCO 2011, pp. 1635–1642. ACM (2011)

    Google Scholar 

  4. Gruber, M.: Multichip Module with Planar-Integrated Free-Space Optical Vector-Matrix-Type Interconnects. Applied Optics 43(2), 463–470 (2004)

    Article  Google Scholar 

  5. Mühlenbein, H., Schlierkamp-Voosen, D.: Predictive Models for the Breeder Genetic Algorithm: I. Continuous Parameter Optimization. Evolutionary Computation 1(1), 25–49 (1993)

    Article  Google Scholar 

  6. Molina, D., Lozano, M., García Martínez, C., Herrera, F.: Memetic Algorithms for Continuous Optimization Based on Local Search Chains. Evolutionary Computation 18, 27–63 (2010)

    Article  Google Scholar 

  7. Fernandes, C., Rosa, A.: A Study on Non-Random Mating and Varying Population Size in Genetic Algorithms Using a Royal Road Function. In: Proceedings of the 2001 Congress on Evolutionary Computation, pp. 60–66. IEEE Press (2001)

    Google Scholar 

  8. Eshelman, L.J., Schaffer, J.D.: Real-coded Genetic Algorithms and Interval-chemata. In: Whitley, L.D. (ed.) Foundations of Genetic Algorithms, vol. 2, pp. 187–202. Morgan Kaufmann, San Mateo (1993)

    Google Scholar 

  9. Hansen, N., Ostermeier, A.: Completely Derandomized Self-Adaptation in Evolution Strategies. Evolutionary Computation 9, 159–195 (2001)

    Article  Google Scholar 

  10. Hansen, N., Kern, S.: Evaluating the CMA Evolution Strategy on Multimodal Test Functions. In: Yao, X., Burke, E.K., Lozano, J.A., Smith, J., Merelo-Guervós, J.J., Bullinaria, J.A., Rowe, J.E., Tiňo, P., Kabán, A., Schwefel, H.-P. (eds.) PPSN VIII 2004. LNCS, vol. 3242, pp. 282–291. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  11. Auger, A., Hansen, N.: Performance Evaluation of an Advanced Local Search Evolutionary Algorithm. In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2005, pp. 1777–1784 (2005)

    Google Scholar 

  12. García, S., Molina, D., Lozano, M., Herrera, F.: A study on the use of non-parametric tests for analyzing the evolutionary algorithms behaviour: a case study on the CEC 2005 Special Session on Real Parameter Optimization. Journal of Heuristics 15(6), 617–644 (2009)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Limmer, S., Fey, D., Lohmann, U., Jahns, J. (2012). Evolutionary Design of Active Free Space Optical Networks Based on Digital Mirror Devices. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2012. Lecture Notes in Computer Science, vol 7248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29178-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29178-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29177-7

  • Online ISBN: 978-3-642-29178-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics