Optimization of unmanned ship's parametric subdivision based on improved multi-objective PSO

OCEAN ENGINEERING

卷:194

Article

Su, Shaojuan^1,2,3  Han, Jing¹  Xiong, Yeping³ 

[1] Dalian Maritime Univ, Naval Architecture & Ocean Engn Coll, Dalian 116026, Liaoning, Peoples R China

[2] Dalian Maritime Univ, Unmanned Ships Collaborat Innovat Inst, Dalian 116026, Liaoning, Peoples R China

[3] Univ Southampton, Fac Engn & Phys Sci, Boldrewood Innovat Campus, Southampton SO16 7QF, Hants, England

关键词: Unmanned ship;    Subdivision;    Parametric model;    Multi-objective particle swarm optimization;    Grey relational degree;   

DOI  :  10.1016/j.oceaneng.2019.106617

来源: Elsevier

【 摘 要 】

The optimization of ship's subdivision arrangement is an important part of ship general layout design. However, optimization to an unmanned ship's subdivision considering the complex multi-objective is less studied. In this paper, the multi-objective optimization of a V-type non-ballasted water unmanned ship compartment division is investigated based on parametric model. The principal rules of cabin division for unmanned ship are determined first. The shape and composition of the longitudinal inner shell layout and transverse inner shell structure are studied by three-dimensional parametric representation method. The cabin capacity, bending moment and water immersion factor are used as the objective functions to establish the mathematical model. The improved multiobjective particle swarm optimization (PSO) algorithm are used to optimize the unmanned ship's subdivision arrangement in which the generated front-end solutions are normalized and sorted by the distance from the origin to solved the multiple objectives. The grey relational degree calculation method is applied to verify the method. Finally, different subdivision scheme based on different objective is given. The findings provide useful guidelines for the design optimization of non-ballast water unmanned ships.

【 授权许可】

Free