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Genetic Evolution of Software Microorganisms

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Methods and Applications of Artificial Intelligence (SETN 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2308))

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Abstract

Genetic Algorithms have been used in many areas of Artificial Intelligence and Artificial Life. The GA approach comes from the area of Biology and uses the ideas of natural selection and Genetics. In this paper we present the SoftGene platform consisting of a Virtual Machine as well as a number of evolutionary software microorganisms, which reside in it. Every microorganism is in fact a virtual machine program the code of which corresponds to its DNA. It tries to reproduce itself but there is a possibility of failure in this reproduction. This process, drives to a generation of a mutated copy of the initial microorganism. Certain constraints must be satisfied in order to keep a microorganism alive.

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Author information

Authors and Affiliations

  1. Knowledge engineering Lab, Department of Informatics, University of Piraeus, 185 34, Piraeus, Greece

    Themistoklis Panayiotopoulos, Harry Kalogirou, Anthony Petropoulos & Dionisis Dimopoulos

Authors
  1. Themistoklis Panayiotopoulos
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  2. Harry Kalogirou
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  3. Anthony Petropoulos
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  4. Dionisis Dimopoulos
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Editor information

Editors and Affiliations

  1. Dept. of Informatics, Aristotle University of Thessaloniki, 54006, Thessaloniki, Greece

    Ioannis P. Vlahavas

  2. N.C.S.R. “Demokritos”, Inst. of Informatics & Telecommunications Software and Knowledge Engineering Lab, 15310, Aghia Paraskevi, Greece

    Constantine D. Spyropoulos

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© 2002 Springer-Verlag Berlin Heidelberg

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Panayiotopoulos, T., Kalogirou, H., Petropoulos, A., Dimopoulos, D. (2002). Genetic Evolution of Software Microorganisms. In: Vlahavas, I.P., Spyropoulos, C.D. (eds) Methods and Applications of Artificial Intelligence. SETN 2002. Lecture Notes in Computer Science(), vol 2308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46014-4_9

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  • DOI: https://doi.org/10.1007/3-540-46014-4_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43472-6

  • Online ISBN: 978-3-540-46014-5

  • eBook Packages: Springer Book Archive

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