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Computer Science > Computational Engineering, Finance, and Science

arXiv:2403.05832 (cs)
[Submitted on 9 Mar 2024]

Title:Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms

Authors:Shuwei Zhu, Siying Lv, Kaifeng Chen, Wei Fang, Leilei Cao
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Abstract:The design optimization of ship hull form based on hydrodynamics theory and simulation-based design (SBD) technologies generally considers ship performance and energy efficiency performance as the design objective, which plays an important role in smart design and manufacturing of green ship. An optimal design of sustainable energy system requires multidisciplinary tools to build ships with the least resistance and energy consumption. Through a systematic approach, this paper presents the research progress of energy-efficient design of ship hull forms based on intelligent optimization techniques. We discuss different methods involved in the optimization procedure, especially the latest developments of intelligent optimization algorithms and surrogate models. Moreover, current development trends and technical challenges of multidisciplinary design optimization and surrogate-assisted evolutionary algorithms for ship design are further analyzed. We explore the gaps and potential future directions, so as to paving the way towards the design of the next generation of more energy-efficient ship hull form.
Comments: 30 pages, 8 figures
Subjects: Computational Engineering, Finance, and Science (cs.CE)
MSC classes: 41C99
ACM classes: J.6; I.2.8
Cite as: arXiv:2403.05832 [cs.CE]
  (or arXiv:2403.05832v1 [cs.CE] for this version)
  https://doi.org/10.48550/arXiv.2403.05832

Submission history

From: Shuwei Zhu [view email]
[v1] Sat, 9 Mar 2024 08:29:29 UTC (914 KB)
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