Skip to main content

Analytical and numerical investigations of evolutionary algorithms in continuous spaces

  • Theoretical Foundations of Evolutionary Computation
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1141))

Abstract

We investigate the biologically motivated selfreproduction strategies by numerical and analytical calculations. In the analytical part we show that each of these strategies can be reduced to an eigenvalue problem of Sturm-Liouville-type. The properties of the landscape and the dynamics of the optimization are encoded in the spectrum of the Hamiltonian, which is different in both cases. We discuss some model cases with exact solutions and compare them with simulations.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. J.D. Nulton and P. Salamon. Statistical mechanics of combinatorical optimization. Phys. Rev., A 37:1351, 1988.

    Google Scholar 

  2. B. Andresen. Finite-time thermodynamics and simulated annealing. In Proceedings of the Fourth International Conference on Irteversible Processes and Selforganization, Rostock, 1989.

    Google Scholar 

  3. P. Sibiani, K.M. Pedersen, K.H. Hoffmann, and P. Salamon. Monte carlo dynamics of optimization: A scaling description. Phys. Rev., A 42:7080, 1990.

    Google Scholar 

  4. H.P. Schwefel. Evolution and optimum seeking. Wiley, New York, 1995.

    Google Scholar 

  5. I. Rechenberg. Evolutionsstrategien — Optimierung technischer Systeme nach Principien der biologischen Information. Friedrich Frommann Verlag (Günther Holzboog K.G.), Stuttgart-Bad Cannstatt, 1995.

    Google Scholar 

  6. R. Feistel and W. Ebeling. Evolution of Complex Systems. Kluwer Academic Publ., Dordrecht, 1989.

    Google Scholar 

  7. R.A. Fisher. The Genetical Theory of Natural Selection. Oxford University Press, Oxford, 1930.

    Google Scholar 

  8. M. Eigen. The selforganization of matter and the evolution of biological macro-molecules. Naturwiss., 58:465, 1971.

    Article  PubMed  Google Scholar 

  9. T. Asselmeyer and W. Ebeling. Unified description of evolutionary strategies over continous parameter spaces. submitted to BioSystems, 1996.

    Google Scholar 

  10. L. Schimansky-Geier. Beschreibung evolutionärer Algorithmen durch 2-Teilchenreaktionen. private communication, 1996.

    Google Scholar 

  11. N.G. van Kampen. Stochastic processe in physics and chemistry. North-Holland Publishing Company, Amsterdam-New York-Oxford, 1981.

    Google Scholar 

  12. R.L. Stratonovich. Topics in the theory of random noise, volume 1. Gordon & Breach, New York, 1963.

    Google Scholar 

  13. D.T. Gillespie. A general method for numerically simulating the stochastic time evolution of coupled chem. reactions. J. Comp. Phys., 22:403–434, 1976.

    Article  Google Scholar 

  14. R. Feistel. Betrachtung der Realsierung stochastischer Prozesse aus automatentheoretischer Sicht. Wiss. Z. W. Pieck Univ. Rostock, 26:663, 1977.

    Google Scholar 

  15. D.T. Gillespie. Monte carlo simulation of random walks with residence time dependent transition probability rates. J. of Comp. Phys., 28:435–450, 1978.

    Google Scholar 

  16. T. Fricke. Neue Algorithmen zur Simulation von Zufallsprozessen. PhD thesis, University AAchen, 1994.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Hans-Michael Voigt Werner Ebeling Ingo Rechenberg Hans-Paul Schwefel

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Asselmeyer, T., Ebeling, W., Rosé, H. (1996). Analytical and numerical investigations of evolutionary algorithms in continuous spaces. In: Voigt, HM., Ebeling, W., Rechenberg, I., Schwefel, HP. (eds) Parallel Problem Solving from Nature — PPSN IV. PPSN 1996. Lecture Notes in Computer Science, vol 1141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61723-X_975

Download citation

  • DOI: https://doi.org/10.1007/3-540-61723-X_975

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61723-5

  • Online ISBN: 978-3-540-70668-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics