摘要
针对多目标协同优化中存在的耦合严重、计算效率低、难以获得体现设计者偏好的最优解等问题,提出了基于自适应加权的多目标协同优化设计算法,阐述了该方法的基本思想并给出了设计优化流程。该方法密切结合实际工程设计经验,将多目标优化问题转换为反映设计者偏好的综合目标优化问题,采用自适应加权的优化策略建立协同优化模型进行优化,得到了反映设计者偏好的最优解。以Tanaka问题和海洋供应船多学科多目标设计优化为例,证明了该方法可以较好地求解多目标优化问题的折衷非劣解。
To resolve the problems involving high coupling, low computation efficiency and difficulties in obtaining optimal solution with designers＇ preferences, a new algorithm for collaborative optimization（CO） and multi-objective design optimization （MODO） based on adaptive weighted-sum method was proposed. The basic ideas and optimization process were presented. Closely combined with the practical engineering experiences, the MODO problems were transformed to comprehensive objective design optimization problem, featuring with designers＇ preferences. Then, collaborative optimization model was constructed by adopting adaptive weighted-sum method as optimization strategy so that the optimal solution featuring with designers＇ preferences was obtained. Finally, taking the Tanaka problem and multidisciplinary and multi-objective design optimization for offshore supply vessel as example, the proposed method was proved to resolve the non-inferior solution of MODO effectively.
出处
《中国造船》
EI
CSCD
北大核心
2012年第4期75-83,共9页
Shipbuilding of China
基金
江苏省基础研究计划(自然科学基金)资助项目(BK2012696)
江苏省自然科学基金(BK2009722)
江苏省科技成果转化专项资金(2009CH025J)
江苏高校优势学科建设工程资助项目(PAPD)
关键词
自适应加权
协同优化
多目标优化
海洋供应船
adaptive weighted-sum method
collaborative optimization
multi-objective optimization
offshore supply vessel
