Abstract
Container vessel stowage is vital for reducing extra cost and the vessel’s turn-around time in ports. Several studies have been conducted to be able to solve this problem. However, this problem has not been dealt with completely due to container stowage problem is complex problem which is literally considered
as a NP-hard problem. Hence, the principal objective of this study is to find optimal container stowage plan for container vessel calling at multiple ports.
Algorithms are the most widely-used methods for finding optimal solution in container vessel stowage problem. In this study, Genetic, Hill-Climbing and Simulated Annealing algorithm are implemented considering same size and two different types of containers (refrigerated and standard containers). After finding the numerical test results from these three algorithms, the effectiveness of the algorithms for the problem are evaluated.
as a NP-hard problem. Hence, the principal objective of this study is to find optimal container stowage plan for container vessel calling at multiple ports.
Algorithms are the most widely-used methods for finding optimal solution in container vessel stowage problem. In this study, Genetic, Hill-Climbing and Simulated Annealing algorithm are implemented considering same size and two different types of containers (refrigerated and standard containers). After finding the numerical test results from these three algorithms, the effectiveness of the algorithms for the problem are evaluated.
| Original language | English |
|---|---|
| Title of host publication | Marine Design XIII |
| Subtitle of host publication | Proceedings of the 13th International Marine Design Conference (IMDC 2018), June 10-14, 2018, Helsinki, Finland |
| Editors | Pentti Kujala, Liangliang Lu |
| Place of Publication | Boca Raton, FL |
| Number of pages | 7 |
| Publication status | Published - 11 Jun 2018 |
| Event | 13th INTERNATIONAL MARINE DESIGN CONFERENCE - Espoo/Helsinki, Helsinki, Finland Duration: 10 Jun 2018 → 14 Jun 2018 Conference number: 13 http://imdc2018.aalto.fi/ |
Conference
| Conference | 13th INTERNATIONAL MARINE DESIGN CONFERENCE |
|---|---|
| Abbreviated title | IMDC2018 |
| Country | Finland |
| City | Helsinki |
| Period | 10/06/18 → 14/06/18 |
| Internet address |
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Keywords
- container vessel stowage
- optimal stowage plan
- contain ship stowage planning
Cite this
Yurtseven, M. A., Boulougouris, E., & Turan, O. (2018). Container vessel stowage plan using genetic, hill-climbing and simulated annealing algorithms. In P. Kujala, & L. Lu (Eds.), Marine Design XIII: Proceedings of the 13th International Marine Design Conference (IMDC 2018), June 10-14, 2018, Helsinki, Finland Boca Raton, FL.