An Experimental Comparison of Different Heuristics for the Master Bay Plan Problem

Author:

Ambrosino Daniela,Anghinolfi Davide,Paolucci Massimo,Sciomachen Anna

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Ambrosino, D., Sciomachen, A., Tanfani, E.: Stowing a containership: The Master Bay Plan problem. Transportation Research 38, 81–99 (2004)

2. Ambrosino, D., Sciomachen, A., Tanfani, E.: A decomposition heuristics for the container ship stowage problem. Journal of Heuristics 12, 211–233 (2006)

3. Ambrosino, D., Anghinolfi, D., Paolucci, M., Sciomachen, A.: A new three-step heuristic for the master bay plan problem. Maritime Economics & Logistics, Special issue on OR models in Maritime Transport and Freight Logistics 11(1), 98–120 (2009)

4. Anghinolfi, D., Paolucci, M.: A new ant colony optimization approach for the single machine total weighted tardiness scheduling problem. International Journal of Operations Research 5(1), 1–17 (2008)

5. Avriel, M., Penn, M., Shpirer, N.: Container ship stowage problem: complexity and connection to the colouring of circle graphs. Discrete Applied Mathematics 103, 271–279 (2000)

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