The purpose of this paper is to investigate the optimization of container stowage plan problem for a container vessel with multiple ports of call. Generally, container vessels visit many different ports on their voyage. Due to the loading and offloading at each port, finding the stowage planning for container vessel is getting more difficult for each subsequent port and also the complexity in stowage planning increases. For that reason, container stowage problem is called NP-hard problem. Genetic Algorithm and Simulated Annealing Algorithm are implemented herein to obtain the optimum solution. After finding the optimum solution from these two algorithms, the results are compared to evaluate their computational cost and efficiency.
|Title of host publication||Maritime Transportation and Harvesting of Sea Resources|
|Subtitle of host publication||Proceedings of the 17th International Congress of the International Maritime Association of the Mediterranean|
|Editors||Carlos Guedes Soares, Ângelo P. Teixeira|
|Place of Publication||[S.I.]|
|Number of pages||6|
|Publication status||Published - 20 Nov 2017|
|Event||17th International Congress of the International Maritime Association of the Mediterranean - Lisbon, Portugal|
Duration: 9 Oct 2017 → 11 Oct 2017
Conference number: 17
|Conference||17th International Congress of the International Maritime Association of the Mediterranean|
|Abbreviated title||IMAM 2017|
|Period||9/10/17 → 11/10/17|
- container stowage
- container vessels
Yurtseven, M. A., Boulougouris, E., Turan, O., & Papadopoulos, N. (2017). Optimization of container stowage using simulated annealing and genetic algorithms. In C. G. Soares, & Â. P. Teixeira (Eds.), Maritime Transportation and Harvesting of Sea Resources: Proceedings of the 17th International Congress of the International Maritime Association of the Mediterranean (pp. 881-886).  [S.I.].