Publications

At this page you will find some work-in-progress and the list of my publications. However, my Google Scholar page is typically updated faster than this page.

Preprints (a few)

  1. Adaptive Large Neighborhood Search for Order Dispatching and Vacant Vehicle Rebalancing in First-Mile Ride-Sharing Services
    J Ye, G Pantuso, D Pisinger
    Available at SSRN 4517039, 2023

Publications

  1. The L-Shaped Method for Stochastic Programs with Decision-Dependent Uncertainty
    G Pantuso, M Hewitt
    Mathematical Programming, 2025. arXiv preprint.
  2. Zonification and Pricing in Carsharing
    J Deng, G Pantuso
    European Journal of Operational Research, 2025. arXiv preprint
  3. Production Planning Under Demand and Endogenous Supply Uncertainty
    M Hewitt, G Pantuso
    INFORMS Journal on Computing, 2024. arXiv preprint
  4. Online Order Dispatching and Vacant Vehicles Rebalancing for the First-Mile Ride-Sharing Problem
    J Ye, G Pantuso, D Pisinger
    EURO Journal on Transportation and Logistics, Volume 13, 100132, 2024.
  5. Joint relocation and pricing in electric car-sharing systems
    U Eilertsen, OM Falck-Pedersen, JV Henriksen, K Fagerholt, G Pantuso
    European Journal of Operational Research, 2023.
  6. Trading off costs and service rates in a first-mile ride-sharing service
    M Zheng, G Pantuso
    Transportation Research Part C: Emerging Technologies 150, 104099, 2023.
  7. Fleet Size Control in First-Mile Ride-Sharing Problems
    J. Ye, G. Pantuso, D. Pisinger
    International Conference on Computational Logistics, 91-104, 2022.
  8. Exact solutions to a carsharing pricing and relocation problem under uncertainty
    G Pantuso
    Computers and Operations Research, 144, 105802, 2022. arXiv preprint
  9. Planning a maritime supply chain for liquefied natural gas under uncertainty
    U Eriksen, J Kristiansen, K Fagerholt, G Pantuso
    Maritime Transport Research, 3, 100061, 2022. Open Access
  10. The Dynamic Electric Carsharing Relocation Problem
    S Hellem, CA Julsvoll, M Moan, H Andersson, K Fagerholt, G Pantuso
    Euro Journal on Transportation and Logistics, 10, 100055, 2021. Preprint
  11. A Node Formulation for Multistage Stochastic Programs with Endogenous Uncertainty
    G Pantuso
    Computational Management Science, 18, 325–354, 2021. arXiv preprint
  12. Maximizing performance with an eye on the finances: a chance-constrained model for football transfer market decisions
    G Pantuso, LM Hvattum
    TOP, 1-29, 2020. arXiv preprint
  13. Risk control in maritime shipping investments
    J Skålnes, K Fagerholt, G Pantuso, X Wang
    Omega, 96, 102087, 2020. Preprint
  14. Formulations of a Carsharing Pricing and Relocation Problem
    G Pantuso
    Lecture Notes in Computer Science, 12433, 295-310, 2020. Preprint
  15. Optimal charging and repositioning of electric vehicles in a free-floating carsharing system
    CA Folkestad, N Hansen, K Fagerholt, H Andersson, G Pantuso
    Computers & Operations Research, 113, 104771, 2020. Preprint
  16. On the number of stages in multistage stochastic programs
    G Pantuso, TK Boomsma
    Annals of Operations Research, 292, 581–603, 2020. Preprint
  17. Optimizing vessel fleet size and mix to support maintenance operations at offshore wind farms
    M Stålhane, EE Halvorsen-Weare, LM Nonås, G Pantuso
    European Journal of Operational Research, 276 (2), 495-509, 2019. Preprint
  18. A comparison of scenario generation methods for the participation of electric vehicles in electricity markets
    IG Jensen, NF Møller, G Pantuso, N Juul
    International Transactions on Electrical Energy Systems, 29, e2782, 2019. Preprint
  19. Pricing Car-Sharing Services in Multi-Modal Transportation Systems: An Analysis of the Cases of Copenhagen and Milan
    RG Hansen, G Pantuso
    Lecture Notes in Computer Science, 11184, 344-359, 2018. Preprint
  20. The Football Team Composition Problem: a Stochastic Programming approach
    G Pantuso
    Journal of Quantitative Analysis in Sports, 13 (3), 113-129, 2017. Preprint
  21. Which uncertainty is important in multistage stochastic programmes? A case from maritime transportation
    G Pantuso, K Fagerholt, SW Wallace
    IMA Journal of Management Mathematics, 28 (1), 5-17, 2017. Preprint
  22. Maximizing the rate of return on the capital employed in shipping capacity renewal
    O Mørch, K Fagerholt, G Pantuso, J Rakke
    Omega, 67, 42-53, 2017.  Preprint
  23. Uncertainty in fleet renewal: a case from maritime transportation
    G Pantuso, K Fagerholt, SW Wallace
    Transportation Science, 50 (2), 390-407, 2016. Preprint
  24. Strategies for Charging Electric Vehicles in the Electricity Market
    N Juul, G Pantuso, JEB Iversen, TK Boomsma
    International Journal of Sustainable Energy Planning and Management, 7, 67-74, 2015.
  25. Solving hierarchical stochastic programs: application to the Maritime Fleet Renewal Problem
    G Pantuso, K Fagerholt, SW Wallace
    INFORMS Journal on Computing, 27, 89-102, 2015.
  26. A survey on maritime fleet size and mix problems
    G Pantuso, K Fagerholt, LM Hvattum
    European Journal of Operational Research, 235 (2), 341-349, 2014.