Ship hydrodynamic performance optimization based on MOEA/D

被引：0

作者：

Bi, Xiaojun ^{[1
]}

Wang, Chao ^{[1
]}

机构：

[1] College of Information and Communication Engineering, Harbin Engineering University, Harbin,150001, China

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2018年 / 39卷 / 10期

关键词：

Decision making - Seakeeping - Hydrodynamics - Decision theory - Hulls (ship) - Constraint handling - Multiobjective optimization - Vehicle performance;

D O I：

10.11990/jheu.201707051

中图分类号：

学科分类号：

摘要：

To solve the ship hydrodynamic performance optimization (SHPO) problem quickly and accurately, this paper presents a multi-objective ship hydrodynamic performance optimization (SHPO) algorithm by introducing a multi-objective evolutionary algorithm based on decomposition (MOEA/D) into the field of ship design. The authors have established a multi-objective optimization model based on rapidity, seakeeping and maneuverability, and introduced into MOEA/D both an adaptive constraint-handling technique and an objective value normalization mechanism to achieve an optimal feasible solution to SHPO. Decision-makers are then presented with an optimal compromise solution using the fuzzy set theory. The algorithm was applied to optimization of the hull parameters of the DTMB5415 ship model; these parameters were compared with those of two other design schemes obtained by multi-objective optimization algorithms. Experimental results showed that the proposed method is more accurate and has a faster convergence speed. © 2018, Editorial Department of Journal of HEU. All right reserved.

引用

页码：1681 / 1687