Optimizing the design of the double bottom structure of an oil tanker using a particle swarm optimization algorithm

被引：0

作者：

Qin H.-D. ^{[1
]}

Shi L.-L. ^{[1
]}

机构：

[1] College of Shipbuilding Engineering, Harbin Engineering University

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2010年 / 31卷 / 08期

关键词：

Discrete variable; Double bottom structure of ship; Orthotropic plate; Particle swarm optimization (PSO); Rate of convergence; Structural optimization design;

D O I：

10.3969/j.issn.1006-7043.2010.08.003

中图分类号：

学科分类号：

摘要：

In order to see if the particle swarm optimization (PSO) algorithm can be adapted to optimize the design process for large and complex structures, the authors first applied basic PSO, then standard PSO and finally a genetic algorithm (GA) to optimize the double bottom structure of a very large crude carrier (VLCC). The double bottom structure was simplified into an orthotropic plate when performing the structural response analysis. The comparison of these three optimization algorithms showed that the convergence of standard PSO was faster than both basic PSO and the GA, especially in the preliminary stage of optimization iteration, and it obtained the global best solution. PSO is an effective optimization algorithm and is suitable for optimization of large and complicated structures.

引用

页码：1007 / 1011

页数：4

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