Abstract
This paper considers a classical ship scheduling problem in which the routing and scheduling of a heterogeneous fleet of ships with time windows for pick-ups and deliveries at multiple ports is required. Assuming fixed ship speeds, the problem of maximising profit is addressed. A variable neighborhood search metaheuristic is proposed for this problem. A computational evaluation compares this variable neighborhood search procedure with multi-start local search and a previous tabu search approach. Computational results show that variable neighborhood search provides both the best-quality solutions and the fastest computation time compared to multi-start and tabu search.
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Brønmo, G., Christiansen, M., Fagerholt, K., Nygreen, B.: A multi-start local search heuristic for ship scheduling - a computational study. Computers & Operations Research 34(3), 900–917 (2007)
Brønmo, G., Christiansen, M., Nygreen, B.: Ship routing and scheduling with flexible cargo sizes. Journal of the Operational Research Society 58(9), 1167–1177 (2007)
Brønmo, G., Nygreen, B., Lysgaard, J.: Column generation approaches to ship scheduling with flexible cargo sizes. European Journal of Operational Research 200(1), 139–150 (2010)
Christiansen, M., Fagerholt, K., Nygreen, B., Ronen, D.: Maritime transportation. In: Barnhart, C., Laporte, G. (eds.) Transportation, Handbooks in Operations Research and Management Science, vol. 14, pp. 189–284. Elsevier, Amsterdam (2007)
Christiansen, M., Fagerholt, K., Ronen, D.: Ship routing and scheduling: Status and perspectives. Transportation Science 38(1), 1–18 (2004)
Fagerholt, K.: A computer-based decision support system for vessel fleet scheduling – experience and future research. Decision Support Systems 37, 35–47 (2004)
Glover, F., Kochenberger, G.: Handbook of Metaheuristics. Kluwer, Dordrecht (2003)
Hansen, P., Mladenovic, N.: Variable neighborhood search: Principles and applications. European Journal of Operational Research 130(3), 449–467 (2001)
Hansen, P., Mladenovic, N.: Variable neighborhood search. In: Glover, F., Kochenberger, G. (eds.) Handbook of Metaheuristics, pp. 145–184. Kluwer, Boston (2003)
Kim, S., Lee, K.: An optimization-based decision support system for ship scheduling. Computers & Industrial Engineering 33(3-4), 689–692 (1997)
Korsvik, J.E., Fagerholt, K., Laporte, G.: A tabu search heuristic for ship routing and scheduling. Journal of the Operational Research Society 61(4), 594–603 (2010)
Li, H., Lim, A.: A metaheuristic for the pickup and delivery problem with time windows. In: IEEE International Conference on Tools with Artificial Intelligence, pp. 160–167 (2001)
Mladenovic, N., Hansen, P.: Variable neighborhood search. Computers & Operations Research 24(11), 1097–1100 (1997)
Ronen, D.: Cargo ships routing and scheduling: Survey of models and problems. European Journal of Operational Research 12(2), 119–126 (1983)
Ronen, D.: Ship scheduling: The last decade. European Journal of Operational Research 71(3), 325–333 (1993)
UNCTAD secretariat: Review of maritime transport. United Nations Conference on trade and development, United Nations, New York, Geneva (2008), http://www.unctad.org/en/docs/rmt2008_en.pdf
UNCTAD secretariat: Review of maritime transport. United Nations conference on trade and development, United Nations, New York, Geneva (2010), http://www.unctad.org/en/docs/rmt2010_en.pdf
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Malliappi, F., Bennell, J.A., Potts, C.N. (2011). A Variable Neighborhood Search Heuristic for Tramp Ship Scheduling. In: Böse, J.W., Hu, H., Jahn, C., Shi, X., Stahlbock, R., Voß, S. (eds) Computational Logistics. ICCL 2011. Lecture Notes in Computer Science, vol 6971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24264-9_21
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DOI: https://doi.org/10.1007/978-3-642-24264-9_21
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