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An Evolutionary Algorithm for Controlling Chaos: The Use of Multi—objective Fitness Functions

  • Hendrik Richter
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2439)

Abstract

In this paper, we study an evolutionary algorithm employed to design and optimize a local control of chaos. In particular, we use a multi—objective fitness function, which consists of the objective function to be optimized and an auxiliary quantity applied as an additional driving force for the algorithm. Numerical results are presented illustrating the proposed scheme and showing the influence of employing such a multi—objective fitness function on convergence of the algorithm.

Keywords

Genetic Algorithm Local Control Evolutionary Algorithm Chaotic System Chaotic Attractor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Hendrik Richter
    • 1
  1. 1.Fraunhofer-Institut für Produktionstechnik und AutomatisierungStuttgartGermany

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