摘要
提出了应用于船舶初步设计的多目标优化策略和决策方法。详细介绍了集成模型分析和优化算法的多目标优化求解思路,并使用改进的非支配排序遗传算法获取优化问题的Pareto解集。针对多目标优化问题中各子目标之间存在相互冲突、不能同时达到最优的特性,采用多属性决策理论对设计空间进行计算分析,找出Pareto前沿面上的最优解。以散货船的初步设计为实例,对多目标优化策略和决策方法进行了验证分析。结果表明优化策略和决策方法不仅是可靠的、实用的,而且能广泛应用于各类船舶初步设计的优化与决策分析中。该文为船舶的初步设计提供了一条新途径。
A multi-objective optimization strategy and decision-making method in the process of preliminary ship design are described in detail.A step-by-step analysis process integrating optimization algorithm and model analysis is proposed to solve the present problem.A multi-objective algorithm method using fast Non-dominated Sorting Genetic Algorithm is employed to obtain the Pareto-optimal solution set through an evolutionary optimization process.A high-level multiple attribute decision-making method based on intuitionistic fuzzy set theory is adopted to rank these so- lutions from the best to worst, and to determine the best solution. The proposed optimization model and decision-making method are demonstrated with a strongly nonlinear multi-objective real ship design problem. Although the application was explained through a bulk carrier design, it can be applied universally in various multi-objective optimization problems encountered in preliminary ship design.
出处
《船舶力学》
EI
北大核心
2009年第3期416-425,共10页
Journal of Ship Mechanics
基金
Supported by Knowledge-based Ship-design Hyper-integrated Platform (KSHIP)’ of Ministry ofEducation and Finance, P. R. China (Grant No.200512)
关键词
多目标
船舶初步设计
决策
遗传算法
multi-objective
preliminary ship design
decision-making
genetic algorithm
