A new integrated multi-objective optimisation algorithm and its application to ship design
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-c...
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| Published in: | Ships and offshore structures Vol. 2; no. 1; pp. 21 - 37 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Cambridge
Taylor & Francis Group
01.01.2007
Taylor & Francis Ltd |
| Subjects: | |
| ISSN: | 1744-5302, 1754-212X |
| Online Access: | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. [PUBLICATION ABSTRACT] 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. |
| Author | Turan, O. Turkmen, B. S. |
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| CitedBy_id | crossref_primary_10_1016_j_enconman_2018_04_020 crossref_primary_10_1080_17445302_2012_736361 crossref_primary_10_1177_1475090218785306 crossref_primary_10_1016_j_oceaneng_2016_11_033 crossref_primary_10_1080_17445300903247162 crossref_primary_10_1016_j_cad_2009_07_005 crossref_primary_10_1080_17445302_2018_1472520 crossref_primary_10_1080_17445302_2021_2010442 |
| Cites_doi | 10.1162/106365600568202 10.1162/evco.1994.2.3.221 10.1179/str.2004.51.3.002 |
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| Copyright | Copyright Taylor & Francis Group, LLC 2007 Copyright Taylor & Francis Ltd. Jan 2007 |
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| SubjectTerms | Algorithms decision making design optimisation Design optimization designer preferences Multi-objective genetic algorithms Optimization algorithms Safety engineering ship design Ships Studies |
| Title | A new integrated multi-objective optimisation algorithm and its application to ship design |
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