• A general deep reinforcement learning hyperheuristic framework for solving combinatorial optimization problems 

      Kallestad, Jakob Vigerust; Hasibi, Ramin; Hemmati, Ahmad; Sörensen, Kenneth (Journal article; Peer reviewed, 2023)
      Many problem-specific heuristic frameworks have been developed to solve combinatorial optimization problems, but these frameworks do not generalize well to other problem domains. Metaheuristic frameworks aim to be more ...
    • On offshore wind farm maintenance scheduling for decision support on vessel fleet composition 

      Gutierrez-Alcoba, Alejandro; Hendrix, Eligius M.T.; Lopez, Gloria Ortega; Halvorsen-Weare, Elin Espeland; Haugland, Dag (Peer reviewed; Journal article, 2019)
      Maintenance costs account for a large part of the total cost of an offshore wind farm. Several models have been presented in the literature to optimize the fleet composition of the required vessels to support maintenance ...
    • On shared use of renewable stocks 

      Ekerhovd, Nils-Arne; Flåm, Sjur Didrik; Steinshamn, Stein Ivar (Journal article; Peer reviewed, 2020)
      Considered here is multi-party exploitation of common property, renewable resources. The parties play various dynamic games differing in degree of cooperation and commitment. Comparisons of steady states clarify issues on ...