Abstract
Container ship stowage plan is a vital subject on reducing additional cost from shifting and the vessel’s turn-around time in maritime ports. However, making proper stowage plan is not straightforward since this subject is literally known as a NP-hard problem. Several studies have been conducted to solve this problem despite it has not been dealt with completely. Hence, the principal objective of this study is to find optimal container stowage plan for container vessel calling at multiple ports. The most common way of finding the optimal solution is to consult algorithms for container vessel stowage problem. In this study, Steepest Ascent Hill Climbing, Genetic and Simulated Annealing algorithms are implemented considering the same size and two different types of containers (refrigerated and standard containers). After obtaining the numerical test results from three algorithms implementation, their performances for the problem solution are compared and evaluated.
| 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, Florida |
| Pages | 617-623 |
| 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
- stowage plan
- container vessel
- multiple ports
Cite this
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Container ship stowage plan using steepest ascent hill climbing, genetic, and simulated annealing algorithms. / Yurtseven, M. A.; Boulougouris, E.; Turan, O.
Marine Design XIII: Proceedings of the 13th International Marine Design Conference (IMDC 2018), June 10-14, 2018, Helsinki, Finland. ed. / Pentti Kujala; Liangliang Lu. Boca Raton, Florida, 2018. p. 617-623.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Container ship stowage plan using steepest ascent hill climbing, genetic, and simulated annealing algorithms
AU - Yurtseven, M. A.
AU - Boulougouris, E.
AU - Turan, O.
PY - 2018/6/11
Y1 - 2018/6/11
N2 - Container ship stowage plan is a vital subject on reducing additional cost from shifting and the vessel’s turn-around time in maritime ports. However, making proper stowage plan is not straightforward since this subject is literally known as a NP-hard problem. Several studies have been conducted to solve this problem despite it has not been dealt with completely. Hence, the principal objective of this study is to find optimal container stowage plan for container vessel calling at multiple ports. The most common way of finding the optimal solution is to consult algorithms for container vessel stowage problem. In this study, Steepest Ascent Hill Climbing, Genetic and Simulated Annealing algorithms are implemented considering the same size and two different types of containers (refrigerated and standard containers). After obtaining the numerical test results from three algorithms implementation, their performances for the problem solution are compared and evaluated.
AB - Container ship stowage plan is a vital subject on reducing additional cost from shifting and the vessel’s turn-around time in maritime ports. However, making proper stowage plan is not straightforward since this subject is literally known as a NP-hard problem. Several studies have been conducted to solve this problem despite it has not been dealt with completely. Hence, the principal objective of this study is to find optimal container stowage plan for container vessel calling at multiple ports. The most common way of finding the optimal solution is to consult algorithms for container vessel stowage problem. In this study, Steepest Ascent Hill Climbing, Genetic and Simulated Annealing algorithms are implemented considering the same size and two different types of containers (refrigerated and standard containers). After obtaining the numerical test results from three algorithms implementation, their performances for the problem solution are compared and evaluated.
KW - stowage plan
KW - container vessel
KW - multiple ports
UR - http://www.scopus.com/inward/record.url?scp=85061363951&partnerID=8YFLogxK
UR - https://www.crcpress.com/Marine-Design-XIII-Proceedings-of-the-13th-International-Marine-Design/Kujala-Lu/p/book/9781138541870
M3 - Conference contribution book
SN - 9781138541870
SP - 617
EP - 623
BT - Marine Design XIII
A2 - Kujala, Pentti
A2 - Lu, Liangliang
CY - Boca Raton, Florida
ER -