[1]杨路春,李学斌,丁明君,等.多目标遗传算法和决策在船型论证中的应用[J].哈尔滨工程大学学报,2012,(12):1459-1464.[doi:10.3969/j.issn.1006-7043. 201203053]
 YANG Luchun,LI Xuebin,DING Mingjun,et al.Application of multi-objective genetic algorithm and decision-making skills in ship form evaluation[J].hebgcdxxb,2012,(12):1459-1464.[doi:10.3969/j.issn.1006-7043. 201203053]
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多目标遗传算法和决策在船型论证中的应用(/HTML)
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年12期
页码:
1459-1464
栏目:
出版日期:
2012-12-25

文章信息/Info

Title:
Application of multi-objective genetic algorithm and decision-making skills in ship form evaluation
文章编号:
1006-7043(2012)12-1459-06
作者:
杨路春李学斌丁明君黄利华
1.上海交通大学 船舶海洋与建筑工程学院,上海 200240; 2.武汉第二船舶设计研究所 信息化技术中心,湖北 武汉 430064
Author(s):
YANG Luchun LI Xuebin DING Mingjun HUANG Lihua
1. School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Information Technology Research Center, Wuhan 2nd Ship Design & Research Institute, Wuhan 430064, China
关键词:
船型论证多目标优化多属性决策集装箱船
分类号:
U662.2
DOI:
10.3969/j.issn.1006-7043. 201203053
文献标志码:
A
摘要:
船型技术经济论证是一个多准则、多目标的优化和决策过程.针对船型方案论证工作,引入多目标遗传算法(MOGA)和决策技术,建立了船型论证的两阶段方法;并以船型主尺度参数作为设计变量,根据船型论证的目标函数和约束条件建立了多目标优化模型.第一阶段采用多目标遗传算法获得船型论证优化模型的Pareto解集;第二阶段采用客观赋权方法获取备选方案属性的权重,根据与理解之间距离远近给出Pareto解集排序.最后讨论了一艘内河集装箱船的船型论证算例,并且与通常使用的网格法、宽容度排序法、加权和方法的结果进行了比较.算例结果表明,建立的2阶段方法具有良好的适应性,能够获得比较丰富的备选方案集,利于决策者选择.

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备注/Memo

备注/Memo:
国防科学技术工业委员会基础研究基金资助项目(A0820110005)
更新日期/Last Update: 2013-01-10