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多目标遗传算法在水面船舶快速性优化设计中的应用
引用本文:李学斌. 多目标遗传算法在水面船舶快速性优化设计中的应用[J]. 江苏科技大学学报(社会科学版), 2008, 22(5)
作者姓名:李学斌
作者单位:武汉第二船舶设计研究所,湖北武汉430064
摘    要:在船舶设计中,船、机、桨的匹配问题一直是设计人员最关注的问题之一.快速性良好的船舶应使得船、主机和螺旋桨之间的性能综合匹配.通过采用改进的非支配解排序的多目标遗传算法,讨论了船舶概念设计阶段快速性优化问题.以推进系统综合效率和排水量为优化目标,考虑了混合变量的多目标优化问题.文中给出了载重量为35000t油船的快速性优化设计例子.结果表明,多目标遗传算法能够快捷搜索到全局最优解.

关 键 词:船舶设计  快速性  多目标优化  进化算法

Application of multi-objective genetic algorithm to the optimal and fast design of surface ship
LI Xuebin. Application of multi-objective genetic algorithm to the optimal and fast design of surface ship[J]. Journal of Jiangsu University of Science and Technology(Natural Science Edition), 2008, 22(5)
Authors:LI Xuebin
Affiliation:LI Xuebin(Wuhan 2nd Ship Design , Research Institute,Wuhan Hubei 430064,China)
Abstract:The match of ship,engine and propeller is one of the most important problems in ship conceptual design.To a ship with good speediness,the performances of ship,main engine,and propeller must match each other.This paper discusses the optimal problem of ship conceptual design by using improved Non-dominated Sorting Genetic Algorithm II.The objectives are hybrid efficiency ratio of propulsion system and displacement of ship.Taking a 35 000 t tank ship as an example,the optimal result shows that the multi-object...
Keywords:ship design  speediness  multi-objective optimization  evolution algorithm  
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