Fitting Rectangular Signals to Time Series Data by Metaheuristic Algorithms

  • Authors:
  • Andreas M. Chwatal;Günther R. Raidl

  • Affiliations:
  • Vienna University of Technology, Vienna, Austria;Vienna University of Technology, Vienna, Austria

  • Venue:
  • Computer Aided Systems Theory - EUROCAST 2009
  • Year:
  • 2009

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Abstract

In this work we consider the application of metaheuristic algorithms to the problem of fitting rectangular signals to time-data series. The application background is to search for transit signals of exoplanets in stellar photometric observation data. The presented algorithms include an Evolution Strategy and Differential Evolution; both algorithms use an efficient reduction of the search space by exactly solving a subproblem. The presented results affirm the presented methods to be promising and effective tools for the discovery of the first multi-transit planetary system.