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Analyzing Dynamic Fitness Landscapes of the Targeting Problem of Chaotic Systems

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7248)

Abstract

Targeting is a control concept using fundamental properties of chaotic systems. Calculating the targeting control can be related to solving a dynamic optimization problem for which a dynamic fitness landscape can be formulated. We define the dynamic fitness landscape for the targeting problem and analyze numerically its properties. In particular, we are interested in the modality of the landscape and its fractal characteristics.

Keywords

  • Particle Swarm Optimization
  • Search Space
  • Lyapunov Exponent
  • Optimal Control Problem
  • Chaotic System

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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Richter, H. (2012). Analyzing Dynamic Fitness Landscapes of the Targeting Problem of Chaotic Systems. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2012. Lecture Notes in Computer Science, vol 7248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29178-4_9

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  • DOI: https://doi.org/10.1007/978-3-642-29178-4_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29177-7

  • Online ISBN: 978-3-642-29178-4

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