基于人工蜂群算法的油船舯剖面优化设计  

Optimization Design of Oil Tanker Midship Section Based on Artificial Bee Colony Algorithm

作　　者：刘浪 夏利娟[1,2] LIU Lang;XIALijuan(State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200240, China;Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai 200240, China)

机构地区：[1]上海交通大学海洋工程国家重点实验室,上海200240 [2]高新船舶与深海开发装备协同创新中心,上海200240

出　　处：《船舶工程》2019年第5期6-9,59,共5页Ship Engineering

摘　　要：基于HCSR规范,以舯剖面净面积最小为优化目标,以区域纵骨间距个数、板厚、型材尺寸、板缝位置为设计变量,采用人工蜂群(ABC)算法,建立适用于油船的舯剖面优化设计模型。以一艘320 000 DWT油船为例,对其进行优化设计,优化结果验证了人工蜂群算法用于船舶舯剖面结构优化的可行性和高效性。Based on HCSR, taking the minimum net area of midship section as the optimization objective, an optimization design model suitable for oil tanker is established with the design variables of number of regional longitudinal spacing, plate thickness, profile size and the position of plate seam. The artificial bee colony algorithm is employed in a 320000 DWT oil tanker midship section optimization. The results show that the artificial bee colony algorithm has the high efficiency and good applicability in optimization of midship section.

关 键 词：人工蜂群算法 舯剖面优化设计 HCSR 优化模型 

分 类 号：U661.43[交通运输工程—船舶及航道工程]