Abstract
| Language | English |
|---|---|
| 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.] |
| Pages | 881-886 |
| Number of pages | 6 |
| Publication status | Published - 20 Nov 2017 |
| Event | 17th International Congress of the International Maritime Association of the Mediterranean, Lisbon, Portugal, 9-11 October 2017 - Lisbon, Portugal Duration: 9 Oct 2017 → 11 Oct 2017 Conference number: 17 |
Conference
| Conference | 17th International Congress of the International Maritime Association of the Mediterranean, Lisbon, Portugal, 9-11 October 2017 |
|---|---|
| Abbreviated title | IMAM 2017 |
| Country | Portugal |
| City | Lisbon |
| Period | 9/10/17 → 11/10/17 |
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Keywords
- container stowage
- container vessels
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Optimization of container stowage using simulated annealing and genetic algorithms. / Yurtseven, M.A.; Boulougouris, E.; Turan, O.; Papadopoulos, N.
Maritime Transportation and Harvesting of Sea Resources: Proceedings of the 17th International Congress of the International Maritime Association of the Mediterranean. ed. / Carlos Guedes Soares; Ângelo P. Teixeira. [S.I.], 2017. p. 881-886 107.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Optimization of container stowage using simulated annealing and genetic algorithms
AU - Yurtseven, M.A.
AU - Boulougouris, E.
AU - Turan, O.
AU - Papadopoulos, N.
PY - 2017/11/20
Y1 - 2017/11/20
N2 - 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.
AB - 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.
KW - container stowage
KW - container vessels
UR - http://www.imamhomepage.org/imam2017/index.aspx
UR - https://www.crcpress.com/Developments-in-Maritime-Transportation-and-Harvesting-of-Sea-Resources/Soares-Teixeira/p/book/9780815379935
M3 - Conference contribution book
SN - 9780815379935
SP - 881
EP - 886
BT - Maritime Transportation and Harvesting of Sea Resources
A2 - Soares, Carlos Guedes
A2 - Teixeira, Ângelo P.
CY - [S.I.]
ER -