Ang, J. H., Goh, C. , Choo, C. T., Juveno, , Lee, Z. M., Jirafe, V. P. and Li, Y. (2019) Evolutionary Computation Automated Design of Ship Hull Forms for the Industry 4.0 Era. In: 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, 10-13 Jun 2019, pp. 2347-2354. ISBN 9781728121536 (doi: 10.1109/CEC.2019.8789905)
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Abstract
As the marine industry moves towards the industry 4.0 era, the role of automated smart design is becoming increasingly significant. This offers an ability to produce highly customisable design and to integrate with the product-lifecycle process such as digitalised ship production and ship operations to in an efficient process. Currently, the hull form optimisation process is performed manually using `trial-and-error' approach, which is not efficient. Focusing on automated smart design, this paper introduces a hybrid evolutionary algorithm and morphing (HEAM). It works by mapping the entire hull form (phenotype) into a chromosome (genotype), which allows global shape modification using a novel 2D morphing method. By combining this 2D morphing and Genetic Algorithm (GA), it enables optimal hull designs to be produced more rapidly with no user intervention.
Item Type: | Conference Proceedings |
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Additional Information: | This research is funded under Economic Development Board (EDB) of Singapore and Sembcorp Marine Ltd. (SCM) under Industrial Postgraduate Programme (IPP) grant no: COY-15-IPP/140002. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Goh, Dr Cindy Sf |
Authors: | Ang, J. H., Goh, C., Choo, C. T., Juveno, , Lee, Z. M., Jirafe, V. P., and Li, Y. |
College/School: | College of Science and Engineering > School of Engineering |
ISBN: | 9781728121536 |
Published Online: | 08 August 2019 |
Copyright Holders: | Copyright © 2019 IEEE |
First Published: | First published in Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC): 2347-2354 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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