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作 者:杨路春[1,2] 李学斌[2] 丁明君[2] 黄利华[2]
机构地区:[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
出 处:《哈尔滨工程大学学报》2012年第12期1459-1464,共6页Journal of Harbin Engineering University
基 金:国防科学技术工业委员会基础研究基金资助项目(A0820110005)
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.The technical and economic evaluation of ship form is a multiple multi-criteriaon,multi-objective optimization and the decision-making process.By introducing the multi-objective genetic optimization algorithm(MOGA) and decision decision-making skill into the process of the ship form evaluating,a two-stage analysis approach is proposed in this research study.According to the objective functions and constraint conditions of ship form evaluation,a multi-objective optimization model has been established,taking the principal ship dimensions as the design variables.In the first stage,a multi-objective genetic algorithm(MOGA) is employed to find the set of Pareto solutions to the optimization model of ship form evaluation.In the second stage,an objective weighting method was employed to obtain the weight of attribute of the alternatives,and the technique for order preference by similarity to ideal solution(TOPSIS) was adopted to obtain the ranking of the set of Pareto solutions.An example of inland river container ship was also provided to illustrate the two-stage analysis approach.The results were then,compared with the standard approaches,such as the grid method,tolerance ranking method,and the weighted-sum method.The results indicate,the two-stage approach is easily adapted and provides a feasible set of solutions,which will aids in the ability to make better decisions in the evaluation process.
分 类 号:U662.2[交通运输工程—船舶及航道工程]
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