Analysis and Modeling of Control Tasks in Dynamic Systems

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  • Rasmus Kjær Ursem, Denmark
  • Thiemo Krink, Denmark
  • Mikkel Thomas Jensen, Denmark
  • Zbigniew Michalewicz, Denmark
  • Department of Computer Science
Most applications of evolutionary algorithms deal with static optimization problems. However, in recent years, there has been a growing interest in time-varying (dynamic) problems, which are typically found in real-world scenarios. One major challenge in this field is the design of realistic test-case generators (TCGs), which requires a systematic analysis of dynamic optimization tasks. So far, only a few TCGs have been suggested. Our investigation leads to the conclusion that these TCGs are not capable of generating realistic dynamic benchmark tests. The result of our research is the design of a new TCG capable of producing realistic nonstationary landscapes.
Original languageEnglish
JournalI E E E Transactions on Evolutionary Computation
Volume6
Issue4
Pages (from-to)378-389
Number of pages12
ISSN1089-778X
Publication statusPublished - 2002

    Research areas

  • Adaptive control, Dynamic problems, real-world problems, test-case generator

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