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

被引:2
|
作者
Zhu, Shuwei [1 ]
Sun, Ning [1 ]
Lv, Siying [1 ]
Chen, Kaifeng [1 ]
Fang, Wei [1 ]
Cao, Leilei [2 ]
机构
[1] Jiangnan Univ, Sch Artificial Intelligence & Comp, Wuxi 214122, Peoples R China
[2] Zhejiang Univ, Innovat Ctr Yangtze River Delta, Jiashan 314100, Peoples R China
关键词
Ship hull form design; Simulation-based design; Intelligent optimization; Energy efficiency; Surrogate model; Evolutionary algorithm; DETERMINISTIC PARTICLE SWARM; MULTIOBJECTIVE OPTIMIZATION; EVOLUTIONARY OPTIMIZATION; INTEGRATED OPTIMIZATION; OPERATIONAL EFFICIENCY; PARAMETER SELECTION; RESISTANCE; ALGORITHM; CFD; VESSEL;
D O I
10.1007/s41965-024-00169-6
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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 pave the way toward the design of the next generation of more energy-efficient ship hull form.
引用
收藏
页码:318 / 334
页数:17
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