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Visualization of evolutionary adaptation in R n

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Evolutionary Programming VII (EP 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1447))

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Abstract

Decades after the potential of evolutionary inspirations in global optimization was acknowledged, there is still some confusion concerning the way the essential evolutionary operators act in basic adaptive situations. This is because the dynamics of evolving populations are quite complex and often counterintuitive. Therefore appropriate visualization programs might be really helpful in providing the required expertise. We present such a program together with a number of examples that illustrate some aspects of evolution of phenotypes in unlimited, multidimensional, real spaces under different kinds of selection.

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References

  1. Strohman, R.C. (1997), Epigenesis and Complexity. The coming Khunian Revolution in Biology, Nature Biotechnology, Vol. 15, 194–200

    Google Scholar 

  2. Atmar, W. (1992), The philosophical errors that plague both evolutionary theory and simulated evolutionary programming, in Proc. First Annual Conference on Evolutionary Programming, eds D.B. Fogel and W. Atmar, Evol. Prog. Soc., La Jolla, CA, 27–34

    Google Scholar 

  3. Eigen, M. (1985), Macromolecular evolution: Dynamical ordering in sequence space, Ber Bunsenges Phys Chem 89, 658–667

    Google Scholar 

  4. Schwefel, H.P. (1995), Evolution and Optimum Seeking, John Wiley & Sons, Inc., New York

    Google Scholar 

  5. Galar R., Karcz-Dulleba I. (1994) The evolution of two: an example of space of states approach In: A. V. Sebald, L. J. Fogel (eds) Proceedings of the Third Annual Conference on Evolutionary Programming, San Diego CA, World Scientific, pp:261–268.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Engineering Cybernetics Wybrzeze, Technical University of Wrocław, Wyspiańskiego 27, PL-50-370, Wrocław, Poland

    A. Chorążyczewski & R. Galar

Authors
  1. A. Chorążyczewski
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  2. R. Galar
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Editor information

V. W. Porto N. Saravanan D. Waagen A. E. Eiben

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© 1998 Springer-Verlag Berlin Heidelberg

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Chorążyczewski, A., Galar, R. (1998). Visualization of evolutionary adaptation in R n . In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds) Evolutionary Programming VII. EP 1998. Lecture Notes in Computer Science, vol 1447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0040817

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  • DOI: https://doi.org/10.1007/BFb0040817

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64891-8

  • Online ISBN: 978-3-540-68515-9

  • eBook Packages: Springer Book Archive

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