There’s no free lunch: a study of Genetic Algorithm use in Maritime Applications
There’s no free lunch: a study of Genetic Algorithm use in Maritime Applications
This paper surveys the applicability and performance of a variety of algorithms belonging to the Genetic Algorithm (GA) family on maritime engineering problems. Nine different GAs from the state-of-the-art are compared with the original GA. The applications are a yacht layout and a grillage structure. The aim is to understand the GA mechanisms by visualising the behaviour, find appropriate algorithms for common problems in maritime engineering and understand the common characteristics of these applications. Guidance is given on the correct algorithm selection, with cMLSGA outperforming other state-of-the-art algorithms on all the test problems.
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28
Blanchard, Jeanne
09d205df-4cf3-45ff-853e-4e524576791b
Grudniewski, Przemyslaw
31ca5517-c2c8-49dd-9536-6af3aefd8d33
Savasta, T.D.
8aea0b48-47bd-4504-bbaa-8e130bd3c42d
25 March 2019
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28
Blanchard, Jeanne
09d205df-4cf3-45ff-853e-4e524576791b
Grudniewski, Przemyslaw
31ca5517-c2c8-49dd-9536-6af3aefd8d33
Savasta, T.D.
8aea0b48-47bd-4504-bbaa-8e130bd3c42d
Sobey, Adam, Blanchard, Jeanne, Grudniewski, Przemyslaw and Savasta, T.D.
(2019)
There’s no free lunch: a study of Genetic Algorithm use in Maritime Applications.
Conference on Computer applications and information technology in the maritime industries, Dublin, Dublin, Ireland.
25 - 27 Mar 2019.
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Conference or Workshop Item
(Paper)
Abstract
This paper surveys the applicability and performance of a variety of algorithms belonging to the Genetic Algorithm (GA) family on maritime engineering problems. Nine different GAs from the state-of-the-art are compared with the original GA. The applications are a yacht layout and a grillage structure. The aim is to understand the GA mechanisms by visualising the behaviour, find appropriate algorithms for common problems in maritime engineering and understand the common characteristics of these applications. Guidance is given on the correct algorithm selection, with cMLSGA outperforming other state-of-the-art algorithms on all the test problems.
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Published date: 25 March 2019
Venue - Dates:
Conference on Computer applications and information technology in the maritime industries, Dublin, Dublin, Ireland, 2019-03-25 - 2019-03-27
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Local EPrints ID: 449788
URI: http://eprints.soton.ac.uk/id/eprint/449788
PURE UUID: c9f58314-c560-41b2-978d-a927f55bc990
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Date deposited: 17 Jun 2021 16:31
Last modified: 13 Dec 2021 03:32
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Contributors
Author:
Przemyslaw Grudniewski
Author:
T.D. Savasta
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