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Self-assemblage of gene nets in evolution via recruiting of new netters

  • Basic Concepts of Evolutionary Computation
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Parallel Problem Solving from Nature — PPSN IV (PPSN 1996)

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

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Abstract

The fundamental dynamical processes of evolution are connected to processes based on sequences — the genetic messages coded by DNA. In biological evolution we can discover stages of the emergence of novel features. Nature apparently explores some unknown mechanisms of complexification of nets of replicating strings.

It is known that genetic changes are not directly manifested in phenotypic changes. Rather, a complex developmental machinery mediates between genetic information and phenotypic characteristics. It provides a certain robustness by filtering out genetic changes.

Such degree of freedom allows the species to accumulate appropriate mutations without interruption of the development. When the volume of heritable changes achieving critical threshold, this can force out the development to a new higher-level trajectory.

I intend to overview here some findings on the way of searching and exploitation of the rules for evolutionary complexification. I hope these algorithms could find applications in the presentation problem of evolutionary computations.

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

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© 1996 Springer-Verlag Berlin Heidelberg

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Spirov, A.V. (1996). Self-assemblage of gene nets in evolution via recruiting of new netters. 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_973

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  • DOI: https://doi.org/10.1007/3-540-61723-X_973

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61723-5

  • Online ISBN: 978-3-540-70668-7

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