基于蚁群算法的大型油船中剖面结构优化设计  

Optimization of Mid Ship Section Structure of Large Crude Oil Carrier Based on Ant Colony Algorithm

作　　者：陆晔[1] 邵雄飞[1] 俞铭华[1] 

机构地区：[1]江苏科技大学船舶与海洋工程学院,江苏镇江212003

出　　处：《江苏科技大学学报（自然科学版）》2007年第B12期10-14,共5页Journal of Jiangsu University of Science and Technology:Natural Science Edition

摘　　要：采用蚁群算法对大型油船中剖面结构进行了优化设计,选取了纵骨型号等18个设计变量,建立了以单位长度中剖面构件重量最轻的目标函数,根据DNV(挪威规范)提取了总纵强度等29个约束条件,从而建立了大型油船中剖面结构优化模型。改进的蚁群算法对该模型进行优化计算,该船的中剖面纵向结构单位长度的重量减轻3.35%,结果表明蚁群算法是行之有效的。The ant colony algorithm is adopted in the optimization design of the mid ship section structure of a large crude oil carrier. According to the DNV norm, a model of the mid ship section structure of the large crude oil carrier is built up. 18 design variables such as longitudinal type are chosen. The target function is determined with the least weight vs. the unit length of the mid ship section structure. 29 constraint conditions are picked up. It proved effective that the ant colony algorithm can improve the optimal design. As a result, the weight of the mid ship section structure in unit length may decrease by 3.35%.

关 键 词：蚁群算法 大型油船 中剖面结构 优化设计 

分 类 号：U661.42[交通运输工程—船舶及航道工程]