摘要
实际船舶优化设计中,大量不确定因素的存在可能会导致船舶性能达不到预定的设计目标。为了保证船型方案的可行性,将区间分析方法应用到不确定稳健设计优化中,以一条散货船的概念设计为例,针对单个不确定变量存在和多个不确定变量共同存在的情况分别进行研究,以单位运输成本的中值和半径最小为目标,采用双层嵌套优化体系,内层采用多岛遗传算法求解目标函数的区间,外层采用NSGA-II算法来优化目标函数,从而保证船舶的稳健性。
In the actual ship optimization design, the existence of a large number of uncertain factors may lead to the performance of the ship cannot reach the intended design goals. In order to ensure the feasibility of the ship forms, the interval analysis method is applied to the uncertain robust optimization design. Taking the conceptual design of bulk carriers as an example, in the case of uncertain variables single existence and multiple co-existence, the study is conducted respectively. Minimizing the median and radius of unit transportation costs as the target, double nested optimization structure is used. The inner layer uses the MIGA（Multi Island Genetic Algorithm） to solve the interval of the objective function. The outer layer uses the NSGA-II algorithm to optimize the objective function to ensure the robustness of ship.
作者
李冬琴
戴晶晶
李国焕
章易立
李鹏
LI Dongqin;DAI Jingjingl;LI Guohuan;ZHANG Yili;LI Peng(School of Naval Architecture ＆ Ocean Engineering,Jiangsu University of Science and Technology,Jiangsu Zhenjiang 212003,China;Jiangsu Modem Shipbuilding Technology Ltd.,Jiangsu Zhenjiang 212003,China)
出处
《船舶工程》
CSCD
北大核心
2018年第7期14-19,87,共7页
Ship Engineering
基金
国家自然科学基金资助项目(51509114)
江苏省基础研究计划(自然科学基金)资助项目(BK2012696
BK2009722)
江苏省高校自然科学研究计划项目(09KJD580004)
关键词
区间分析方法
稳健设计优化
不确定量化
interval analysis method
robust design method（RDO）
uncertainty quantification
