Abstract
| Language | English |
|---|---|
| Pages | 21-37 |
| Number of pages | 17 |
| Journal | Ships and Offshore Structures |
| Volume | 2 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 8 Jul 2007 |
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Keywords
- Multi-objective genetic algorithms
- ship design
- design optimisation
- designer preferences
- decision making
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A new integrated multi-objective optimisation algorithm and its application to ship design. / Turkmen, B.S.; Turan, O.
In: Ships and Offshore Structures, Vol. 2, No. 1, 08.07.2007, p. 21-37.Research output: Contribution to journal › Article
TY - JOUR
T1 - A new integrated multi-objective optimisation algorithm and its application to ship design
AU - Turkmen, B.S.
AU - Turan, O.
PY - 2007/7/8
Y1 - 2007/7/8
N2 - This article presents a new integrated multi-objective optimisation algorithm and its application to ship design. The proposed algorithm can successfully introduce designer preferences into the search by modifying elitism and fitness sharing parts of a multi-objective genetic algorithm via a multi-criteria selection method and weighted evaluation of crowding distances. The proposed algorithm is tested, compared and validated against the known methods in the literature and then applied to the internal hull subdivision problem of a Ro-Ro passenger vessel. The internal subdivision of a ship hull is an important measure for the safety of a ship since it directly affects the survivability of a ship when damage occurs. The optimisation problem of the internal subdivision arrangement of ship is successfully solved, and the final solution found via the optimisation study improved the Ro-Ro passenger vessel design from both safety and economical perspectives.
AB - This article presents a new integrated multi-objective optimisation algorithm and its application to ship design. The proposed algorithm can successfully introduce designer preferences into the search by modifying elitism and fitness sharing parts of a multi-objective genetic algorithm via a multi-criteria selection method and weighted evaluation of crowding distances. The proposed algorithm is tested, compared and validated against the known methods in the literature and then applied to the internal hull subdivision problem of a Ro-Ro passenger vessel. The internal subdivision of a ship hull is an important measure for the safety of a ship since it directly affects the survivability of a ship when damage occurs. The optimisation problem of the internal subdivision arrangement of ship is successfully solved, and the final solution found via the optimisation study improved the Ro-Ro passenger vessel design from both safety and economical perspectives.
KW - Multi-objective genetic algorithms
KW - ship design
KW - design optimisation
KW - designer preferences
KW - decision making
U2 - 10.1533/saos.2006.0143
DO - 10.1533/saos.2006.0143
M3 - Article
VL - 2
SP - 21
EP - 37
JO - Ships and Offshore Structures
T2 - Ships and Offshore Structures
JF - Ships and Offshore Structures
SN - 1744-5302
IS - 1
ER -