Global optimization

  • Madsen, Kaj (Project Manager)
  • Stauning, Ole (Project Participant)
  • Zerchaninov, Serguei (Project Participant)
  • Zilinskas, Antanas (Project Participant)
  • Zilinskas, Julius (Project Participant)

    Project Details


    A new method for global optimization is being developed. It is based on the same principles as the well established interval branch-and-bound method but without so severe limitations on the objective function. It only needs to be a smooth function (i.e. twice differentiable), calculated by a "black box" procedure. Stochastic methods, like simulated annealing and genetic algorithms also are used as sources of inspiration. Parallel processing is appplied.
    Effective start/end date01/08/1990 → …


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