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Coevolutionary Convergence to Global Optima

  • Lothar M. Schmitt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2723)

Abstract

We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is shown for the first time that coevolutionary arms races yielding global optima can be implemented successfully in a procedure similar to simulated annealing.

Keywords

Coevolution convergence of genetic algorithms simulated annealing genetic programming 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Lothar M. Schmitt
    • 1
  1. 1.The University of AizuAizu-Wakamatsu City, Fukushima PrefectureJapan

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