A variable neighborhood search heuristic for tramp ship scheduling

  • Authors:
  • Fotini Malliappi;Julia A. Bennell;Chris N. Potts

  • Affiliations:
  • University of Southampton, Southampton, United Kingdom;University of Southampton, Southampton, United Kingdom;University of Southampton, Southampton, United Kingdom

  • Venue:
  • ICCL'11 Proceedings of the Second international conference on Computational logistics
  • Year:
  • 2011

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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.