Solving dynamic constrained optimization problems with asynchronous change pattern

  • Authors:
  • Hendrik Richter;Franz Dietel

  • Affiliations:
  • HTWK Leipzig, Fakultät Elektrotechnik und Informationstechnik, Institut Mess-, Steuerungs- und Regelungstechnik, Leipzig, Germany;HTWK Leipzig, Fakultät Elektrotechnik und Informationstechnik, Institut Mess-, Steuerungs- und Regelungstechnik, Leipzig, Germany

  • Venue:
  • EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
  • Year:
  • 2011

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Abstract

We consider optimization problems with a dynamic fitness landscape and dynamic constraints that may change independent of each other in terms of their respective time regimes. This generally leads to asynchronous change pattern with the possibility of occasional synchronization points. We present a framework for describing such a dynamical setting and for performing numerical experiments on the algorithm's behavior.